Leading Through Change in the IT Industry: Why Emotional Intelligence Matters More Than Ever

Introduction

In today’s IT world, employees often wake up to a workplace that feels different from the one they left the night before. A new tool replaces an old process, teams are restructured overnight, automation reshapes roles, and client expectations evolve faster than people can adapt. Change is no longer a phase organizations pass through, it has become the atmosphere employees work and breathe in every day. While much is written about what leaders should do during change management, these conversations often become a checklist of strategies and actions. From a positive psychology lens, however, change is not only about execution; it is about people navigating uncertainty together.

A leader may envision the need for change, design the process, and align teams toward a common goal. Yet, change never happens in a vacuum. The leader is part of the same emotional ecosystem as the employees implementing the transformation on the ground. Both experience fear, resistance, hope, and uncertainty. Research in positive psychology consistently shows that emotions influence adaptability, creativity, and resilience at work. Ignoring this human dimension can make even the most technically sound strategy fail.

An emotionally intelligent leader therefore becomes the lighthouse during change who offers direction, stability, and reassurance while people move through unfamiliar waters. Let us look at some strategies that leaders can adopt while leading change in their environment.

1. Storytelling Creates Meaning During Change

One of the most powerful tools a leader possesses is storytelling. People rarely connect deeply with spreadsheets and process charts alone; they connect with meaning. Explaining why a change matters through a simple and authentic narrative helps employees emotionally invest in the transition.

For example, when an ERP implementation team transitions from legacy on-premise systems to a cloud-based ERP platform, employees may initially see only new workflows, tighter timelines, and additional learning demands. A leader who frames the shift as an opportunity to build faster, more scalable solutions for clients and future-proof the organization’s capabilities helps employees connect emotionally to the larger purpose behind the transformation.

Research by Jonathan Haidt suggests that people are moved not only by logic, but by emotionally resonant stories that create shared purpose. In fast-changing IT environments, storytelling helps leaders transform uncertainty into something employees can emotionally understand and relate to. When people understand the meaning behind change, they are far more likely to move with it rather than resist it.

2. Vulnerability Builds Psychological Safety

Equally important is a leader’s willingness to embrace vulnerability. Leadership is often mistaken for emotional stoicism, especially in high-pressure IT environments. However, studies by Brené Brown show that leaders who acknowledge uncertainty while remaining grounded build stronger psychological safety within teams.

This becomes particularly relevant during large ERP migration projects where unexpected client escalations, integration issues, or changing business requirements can create stress across consulting and support teams. A delivery leader who openly acknowledges the challenges while reassuring the team that collaboration and learning are part of the process often creates greater trust than one who projects unrealistic certainty.

Employees are more likely to adapt when they see that emotions and professionalism can coexist. A leader who says, “We may not have all the answers yet, but we will navigate this together,” often creates more trust than one who projects artificial certainty. Vulnerability, when paired with steadiness, humanizes leadership.

3. Empathy Helps Employees Feel Seen, Not Managed

Empathy also plays a critical role during organizational transformation. Change makers cannot afford to remain emotionally distant from the impact of transformation on their people. A manager introducing automation, for instance, must recognize the anxiety employees may feel around job security and relevance.

In ERP environments, automation through AI-enabled reporting, low-code workflows, or robotic process automation may create concerns among practitioners about role redundancy or changing skill expectations. Leaders who proactively engage in conversations around reskilling, career growth, and future opportunities help employees feel supported rather than threatened by technology shifts.

When leaders actively listen and validate concerns, employees feel seen rather than managed. Positive psychology research consistently highlights that emotional validation strengthens trust, belonging, and engagement at work. Employees may still struggle with change, but empathy reduces emotional isolation during uncertain periods. In environments driven heavily by performance and technology, empathy reminds people that they are still human first.

4. Measured Optimism Strengthens Resilience

At the same time, effective leaders practice measured optimism. Constantly emphasizing disruption can overwhelm teams. Employees need anchors like values, relationships, or cultural strengths that remain unchanged amidst transition.

For instance, during a company-wide ERP transformation involving multiple global clients, leaders who remind teams of their strong delivery culture, collaborative problem-solving abilities, and past successes create emotional stability even when project demands intensify. Research on resilience within positive psychology suggests that familiarity creates emotional stability during periods of uncertainty. Leaders who focus only on urgency may unintentionally increase stress, while leaders who balance realism with hope create emotional endurance. Measured optimism does not deny difficulty. Instead, it reassures people that uncertainty is survivable and that growth remains possible even during disruption.

 5. Staying Connected to Lived Experiences Builds Trust

Finally, emotionally intelligent leaders stay connected to lived experiences. Much like leaders who immerse themselves in the systems they aim to improve, modern managers must remain curious, visible, and open to feedback. Change succeeds not when it is perfectly designed on paper, but when people feel supported enough to move through it together.

In ERP consulting environments, leaders who occasionally sit in on client workshops, shadow support calls, or participate in project retrospectives often gain deeper insight into the operational and emotional pressures teams face. These small acts of visibility signal that leadership understands the realities on the ground rather than operating from a distance. Leaders who remain emotionally and operationally connected to employees understand the hidden pressures teams experience during transitions.

Visibility creates trust. Presence creates reassurance. Listening creates alignment.

And in times of uncertainty, these qualities matter just as much as technical expertise.

In the end, leadership during change is not about pretending the storm does not exist. It is about becoming the lighthouse people look toward when the waters are rough. Steady enough to provide direction, human enough to understand fear, and hopeful enough to remind others that even in uncertainty, they will not lose their way.

 References

Browné Brown. (2018). Dare to lead: Brave work. Tough conversations. Whole hearts. Random House.

Susan David. (2016). Emotional agility: Get unstuck, embrace change, and thrive in work and life. Avery.

Jonathan Haidt. (2006). The happiness hypothesis: Finding modern truth in ancient wisdom. Basic Books.

Martin Seligman. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.

TED Talks & Additional Resources

 

How Oracle SCM Cloud Cuts Production Lead Time (And Why Your Factory Needs It Now)

Introduction:

What comes up to your mind when you first listen the word “Manufacturing”?

Assembly lines- rows to machines and labors working in sync to create finished goods using raw materials. This is the image which popularized perception of Henry Ford and showed the rise of mass production, efficiency, repetition & scale.

The core ideas behind mass production were Transformation – turning less value raw materials to more useful finished goods, Automation – use of robotics & précised machinery, Product Standardization – production of identical specification items and Infrastructure – Manufacturing Units, Logistics & Supply Chain Networks.

When it comes to picturize “Production Lead Time” with the above core ideas I think it as a clock attached with the process, the assembly line turns into a timeline which connects all manufacturing elements. It totally changes the perception to evaluate a production unit from “How much we are producing?” to “How quick & efficient our product is?”

What is Production Lead Time & How we can measure it the right way?

At Orbrick we have come along with many process & discrete manufacturing units and a in most of the organizations when we ask about the lead time, they define it as a timeline from Order to Ship which is not the right way to define the same.

Actual Production Lead time spans from Product concept to customer delivery. The whole process includes the intent to buy from customer till delivery to the customer site. This can be factored into three types or phases:

  1. Pre-Processing Time
  2. Processing Time
  3. Post-Processing Time

Pre-Processing Time

It defines the time taken to get the raw material delivered at your facility once customer places an order. Basically, this is procurement process time.

Processing Time

It is the span of time taken to process the raw material into finished goods as per customer requirements. This defines our manufacturing/production lead time.

Post Processing Time

It covers the shipping of finished goods and making them reach the last mile to customer warehouses. This defines the delivery/shipping process lead time.

Where does time really get lost? Answer is “Bottlenecks across each phase”.

Behind hand order verification and approvals along with poor demand forecasting, stretched supplier lead time and analog procurement processes fuel the delays in preprocessing phase.

Processing phases has its own bottlenecks like capacity constraints, less efficient operations, equipment downtime, poor material management and inefficient shopfloor scheduling. These collectively causes quality to rejection & increase idle production time.

Postprocessing phase burns time due to quality control backlogs, documentation clearance & logistics lags.

Is this just a delay??- NO!! It has real cost associated with it

Production delays are not only a source of concern for production managers but also significantly impact all stakeholders involved. Beyond the immediate loss of time, such delays trigger cascading financial consequences that can affect overall business performance.

Every delay in production causes:

  1. Increased Production Costs
  2. Loss of business
  3. Customer relations

Direct production costs such as idle labour expenditures, equipment overheads & raw material wastage in few industries adds up to the cost book and increases overall manufacturing costs.

Repetitive delays in your production leads to loss of business as customers don’t wait and move to the suppliers who can fulfill their orders promptly. According to sources (Siemens True Cost of Downtime,2024), there is nearly 11% reduction in revenue due to increase in production lead time which causes fulfillment delays.

All this is just tip of an iceberg as there are strategic costs associated with the same which are usually less visible. Premium costs associated with the material substitutes to meet up the customer demand, overtime labour, contract violations and degrading customer relations disrupts the supply chain causing downstream consequences.Every day of delay costs an organization their fixed costs, loss of revenue and a souring customer relationship.

To address these uncertainties, procurement managers frequently choose to order more than necessary. Although this tactic can offer immediate relief, it may result in elevated costs for storing inventory and a greater chance of stock becoming outdated if demand changes. Over time, this reactionary pattern can increase inefficiencies throughout the supply chain, creating a ripple effect like a whiplash, where minor variations lead to significant operational and financial disturbances.

Want to curtail Production Lead Time? Oracle SCM Cloud is the answer:

At Orbrick, we often talk about the evolving capabilities of Oracle Cloud that enable organizations to transform from reactive operations to more proactive and automated business processes. However, this strategic shift does not happen overnight.

To realize these benefits, businesses need to consistently adopt and integrate advanced capabilities such as agentic AI, IoT-driven insights, and intelligent automation within their workflows. By leveraging these tools effectively, organizations can improve real-time decision-making, enhance operational efficiency, and build more resilient, future-ready processes.

We have again factored our production lead time and see how Oracle Cloud can help in optimizing the lead time in each phase:

Preprocessing Phase

Delays frequently start during the pre-processing stage because of manual order creation, supplier follow-ups, or approval bottlenecks. By streamlining workflows through automation, facilitating quicker approvals, enhancing supplier collaboration, and lowering reliance on manual processes, Oracle Cloud directly addresses these issues. This helps businesses maintain smoother, more effective operations and reduce delays early in the cycle.

  • Automated Demand Planning takes into consideration not only the historical data but also emphasise on latest market trends & seasonal shifts to predict the accurate business demands. Now the procurement team has much reliable forecast and can shift quickly as per the trends using the real numbers then just doing guesswork because of outdated forecasting methods. Smarter demand planning has enabled businesses to perceive changes in few hours rather than in weeks or months.
  • Smarter Sourcing enabled businesses to do smooth supplier onboarding with much less efforts compared to manually driving sourcing events. AI agents can actively drive sourcing events, invite suppliers and send out automated notification without sourcing team’s analog support. The process which took days of active follow ups manually can now be completed in the background automatically. Further 26A provides AI driven contract review option which further simplifies the supplier negotiation process.
  • Product Variance Communication is now faster and more efficient with the use of intelligent agents. These tools support procurement and production teams’ efficient substitute management while facilitating the smooth exchange of information about product modifications. These features make it easier to collaborate, close communication gaps. As a result, businesses can make decisions about alternative sourcing more quickly and handle change orders more effectively, reducing operational disruption.
  • Purchase Order Automation has become a valuable enabler for procurement teams, helping them prioritize tasks, streamline workflows, and accelerate the creation and approval of purchase orders. By leveraging smart capabilities of Cloud, organizations can reduce dependencies on manual processes that are often snail speed and prone to errors. Procurement managers can now easily track pending purchasing documents, monitor approval statuses in real time, and make more informed decisions. Overall, this leads to better efficiency, compliance management, and faster response to business needs rather than depending on the old school methods.

Processing Phase:

This phase represents the core of production and delays here in this phase creates not only operational impact but also high financial impacts as well. Using Oracle Cloud’s capabilities enables real time visibility of potential disruptions and proactive decision making for production supervisors on the shopfloor.

  • Real Time Production Data using IOT enables shopfloor managers sense ongoing issues by realistic data and help trigger proactive actions. Production teams can proactively fix bottlenecks, shorten reaction times, and increase overall operational efficiency with this data knowledge, which facilitates quicker, data-driven decision-making. In the end, real-time monitoring contributes to better, more reliable manufacturing processes and improves transparency throughout the production process. Similar capabilities can be used for maintenance where real time data help shopfloor supervisors predict equipment breakdowns before they happen and proactively schedule maintenance activity to avoid production disruption & increased idle time on the floor.
  • Smart Work Execution helps manufacturers manage work orders on the shopfloor as per the resource’s availability, customer priority and fulfilment deadlines. This help team enable faster decision, improved shopfloor work schedule stability and less production failures. Using Smart Operations for manufacturing, production teams can enhance operational performance & real time data backed decisions. This simplifies the current complex shopfloor processes and enables the manufacturers to drive continuous betterment in manufacturing & supply chain operations.
  • AI Drive Inventory Task Assignment compliments the shopfloor resources to speed up the work execution without any material availability issues. This feature identifies the correct and most efficient matrix to assign the task to available workers so that processing time can be reduced to a significant measure. This optimized approach reduces delays, improves resource utilization, and accelerates execution on the shop floor. As a result, organizations can enhance productivity, minimize operational bottlenecks, and maintain better alignment between workforce activities and real-time production needs.

Also Read: From Stockouts to Seamless Operations Using Mobile Inventory

Post Processing Phase:

Even after production is completed, delays in quality inspections, documentation, and dispatch processes can overshadow the efficiencies gained earlier in the core production phase. Organizations can address these challenges using advanced capabilities offered by Oracle Cloud that streamline post-production activities.

With features such as automated quality inspections, digital documentation, and integrated logistics coordination, organizations can accelerate final-stage operations, reduce errors, and ensure timely deliveries. This not only preserves the gains achieved during production but also enhances overall customer satisfaction and operational reliability.

  • Automated Quality Inspections can be executed using vision equipments where accepted criteria can be predefined into the systems. While inspecting the finished good lots, these machine models can visually analyse the product quality and appearance further taking the decision to reject or accept the quantities. This eliminated the manual judgement to complete the quality inspection and reduced the time used for quality control using data driven decisions.
  • Oracle Advanced Inventory Management helps assign load numbers to the shipment so that these can be shipped in a group therefore reducing the shipment preparation time. Cross docking opportunities are also timely flagged using the same so that there should be less time consumption to receive and then further dock the material for transportation.
  • Automated Fulfillment Processing using Oracle Cloud AI capabilities help managers fulfill the orders prior violating deadlines. It streamlines the entire fulfilment cycle—from picking and packing to shipping—reducing complexity and manual intervention. Oracle Cloud AI agents further enhance this process by prioritizing shipments based on urgency and business rules, helping expedite deliveries and improve overall SLAs. As a result, organizations can achieve faster, more reliable order fulfilment while maintaining better control over logistics operations that too without active human involvement.
  • AI Optimized Transportation Management helps businesses get the efficient & most cost-effective routes to deliver their shipments. This help managers avoid congestion delays & optimize the promised arrival time to customers. AI powered predictions can sense delay risks using the real time data and help get the clear visibility for better shipment planning and optimized transit costs.

Still confused where to start? These can be the next steps to begin optimizing your lead times

By now we have understood that where & how our lead time is trapped, and Oracle Cloud can help address those gaps & inefficiencies. But the question arises how to proceed? Where to start?

At Orbrick, we always say Obligation to Imagine – Don’t settle for what is; always think of what better could be. Businesses should also actively search for what better they can do to optimize their production.

  • Figure out your current lead times & system health using our inhouse Foresight Tool which gives the quantitative analysis about what is going wrong with your business. This gives businesses a clear baseline so that improvement thresholds can be defined.
  • A well targeted & time bound implementation is always a deciding factor for any business in terms of better visibility, efficiency & business process optimization. At Orbrick we always focus on freeing out the jammed time in business processes that is costing million dollars to the businesses and making them struggle to gain competitive edge.
  • Step by step progresses build the lasting results for businesses.
  • You can start small, analyse impacts on the production lead time measurables, visualize positive results and make team act towards the same smarter & faster i.e. small start but faster adoption.
  • Emphasis should not be only on the scaling up the adoption but do invest on the resource trainings & development. A better tech friendly work force makes change management an easy terrain to pass & the benefits seem to release faster than before.
  • Continuous monitoring of the key metrics which can give businesses a holistic overview of the real time processes and ensures clear data driven decision for continuous improvements over the time.

Let’s conclude:

Manufacturing has always been about transformation – turning raw materials into finished goods. But in today’s competitive landscape, the real transformation that businesses need is in how they manage time. Organizations need to make every second work for them in efficient & effective way.

Production lead time is no longer just an operational metric. It is a direct reflection of how well your business is connected, how fast your teams can make decisions, and how effectively your systems support your people. Every bottleneck – whether it sits in procurement, on the shop floor, or at the dispatch dock – carries a real cost that goes well beyond a delayed shipment, many times it costs us the customer trust and future business.

At Orbrick, we believe that the businesses that win tomorrow are the ones that are willing to rethink their processes today. Oracle Cloud SCM gives manufacturers the tools to do exactly that – not by adding more complexity, but by removing the friction that quietly consumes time, money, and opportunities every single day.

The shift from reactive to proactive manufacturing does not happen with a single decision. It happens step by step – with the right platform, the right partner, and the right mindset.

Remember what I called Production Lead Time in start of our conversation? It’s a clock attached to business process.

The clock is always ticking. The question is – are you in control of it?

 

 

 

Before You Publish Appraisals, Ask Yourself: Are You About to Reward Bias? 

The Mars Curiosity Rover wasn’t just sent to Mars to collect data – it was built to explore questions no one could yet answer. It didn’t land there by chance either. It happened because thousands of people believed that discovering new things isn’t optional – it’s a responsibility.  

Progress, after all, depends on a certain kind of thinking. The willingness to ask why, to challenge assumptions, and to keep pushing on what if long enough for patterns to emerge and insights to take shape. 

Curiosity, in that sense, isn’t just a machine. It’s a mindset. 

And yet, that mindset is often missing where it matters most – like during the appraisal season. 

By the time the performance ratings are finalized, most organizations have shifted gears into execution mode. Reviews are written. Ratings are calibrated. Promotion recommendation decisions are lined up. The focus is shifted to rollout – getting everything published smoothly and on time. 

But what if this window, right before the results go live, isn’t the end of the process – but for you to be Curious? 

Curious as in taking a deliberate pause to interrogate outcomes. To ask – Why are certain teams rated consistently higher than others? Are you being reviewed on the performance, or just based on what was most recent or most visible? 

Because the bitter truth is performance cycles don’t fail with a big bang; they fail quietly – through subtle errors and inconsistencies, subconscious assumptions, and patterns that will only emerge when someone is curious enough to look for them. 

Here, we’ll make you uncomfortable by asking the harsh question: 

Are you about to reward the bias? 

To avoid this, we’ll discuss 3 key checks that will be worth running every single year before you hit publish: 

Are you being paid your worth? 

Let’s start with a question your compensation team almost certainly knows the answer to, but your HR Business Partner might not have on their radar. 

Where do you actually sit in your salary band? 

Not just your grades. Not just your title. But within the range itself – are you near the bottom, hovering around the middle, or nudging the top? That position has a name: compa-ratio. A ratio of 1.0 means you’re right at the midpoint of your band. Below 1.0, you’re in the lower half. Above it, the upper. 

Now take that number and lay it next to your performance rating. 

Two uncomfortable clusters tend to show up, and once you see them, you can’t unsee them. 

The first is someone who’s been rated “Below Expectations” but is sitting at a compa-ratio of 1.15 or above. They’re being paid well above the midpoint of their band, and they’re not delivering the performance that justifies it. That’s a budget problem, yes, but it’s also quietly unfair to every colleague around them who’s working harder and earning less. 

The second cluster is the one that should keep you up at night. Someone rated “Exceeds Expectations”, your best people, sitting at a compa-ratio below 0.85. They’re in the bottom quartile of their salary band despite delivering exceptional work. And here’s the thing: they usually know. They can feel it. If they haven’t started quietly exploring other options yet, the moment you publish this appraisal without addressing it, the clock starts ticking. 

        Are you being paid your worth

Neither of these is a rare case. They exist in almost every performance cycle, in almost every organization. They persist not because HR doesn’t care, but because nobody ran the cross-check before hitting publish. 

So do it now, while you still can. Pull compa-ratio from compensation, lay it against your ratings, and look for these two clusters. What you choose to do with what you find is what separates a genuinely fair appraisal process from one that just looks like the part. 

Is your manager rating fairly – or just consistently? 

Here’s something nobody says out loud during performance calibration but probably should: every manager walks into that room convinced their ratings are fair. 

And most of them genuinely believe it. 

But there’s a difference between meaning well and rating fairly – and the gap between those two things only becomes visible when you zoom out and look at the numbers side by side. 

So, ask yourself: how does each manager’s rating distribution actually compare to everyone else’s?  

Picture this. Your company’s average for “Exceeds Expectations” sits at 18%. One manager has rated 55% of their team there. Now, is it possible they’ve somehow assembled the most exceptional group of people in the entire organization? Sure, it’s possible. But it’s worth asking the question, because what’s more likely is that this manager struggles to have difficult conversations, defaults to generous ratings to keep their team happy, and has quietly made “Exceeds” mean something very different on their floor than it does everywhere else. 

The other end of the spectrum is just as damaging, just in a quieter way. A manager who rates 95% of their team as “Meets Expectations” – regardless of what actually happened that year, is essentially telling their strongest performers that outstanding work and average work look the same from where they’re sitting. That’s not just demoralizing. It’s the kind of thing that makes people update their LinkedIn profiles. 

This isn’t a call to force everyone onto a bell curve. It’s simpler than that. Find the managers whose distributions are genuine outliers, sitting more than one standard deviation from the peer group average, and have a calibration conversation with them before the results go live. 

Because once the appraisals are published, you’re no longer course-correcting. You’re managing the fallout. 

Is the same performance worth less depending on who delivers it? 

This one will make quite a few people uncomfortable, which is precisely why it needs to be asked. 

Not across the whole organization, but look within the same job grade, same function, even control for tenure, and compare average performance ratings across gender. At the organization level, it becomes too broad. 

Now look at these numbers. 

If women at Grade 5 in your Sales function are consistently rated 0.3 points lower than men at the same grade, and that gap holds across multiple managers and multiple review cycles, that is a systemic signal. Not an anomaly. Not a coincidence. A pattern. 

 

And here’s what makes this particular check so important – the bias is rarely intentional. Nobody sat down and decided to rate women lower. But as per McKinsey and LeanIn’s Women in the Workplace 2024 Report, for every 100 men promoted, there are only 81 women promoted, which is only 3 more than the women promoted as per the study in 2018. The ratings themselves were part of the problem, year after year, long before anyone noticed. 

The window before appraisals go live is where you can actually do something about it. You still have room to course-correct, to go back to managers, to ask harder questions, and to fix what can be. Once the results are published, that window closes. What was a quiet pattern becomes an official record that shapes someone’s pay, their promotion trajectory, and their sense of whether this organization actually values them. 

Summing Up 

The organizations that answer these questions right don’t just run appraisal cycles. They investigate them.  

They treat the gap between “ratings complete” and “results published” as a window for discovery, a chance to surface bias, test alignment, and ensure that what looks fair on the surface actually is fair underneath. 

In other words, they do what Curiosity was built to do: They ask better questions before they accept the answers. 

Good news is that your Oracle Fusion HCM Cloud already captures the data for every check we’ve discussed above – salary bands, performance review final ratings, legislative and demographic attributes. It’s just a matter of running those checks.  

Oracle’s Workforce Compensation module can flag the mismatches in compa-ratio and performance ratings, the two danger zones – Overpaid Underachievers and Underpaid High Performers, to the managers even before they even submit their recommendations for promotions. Most implementations never configure these warning signs. They exist. They just sit unused. 

One route to reduce leniency or severity bias is by switching the rating scales. Instead of letting the managers review on a 5-point scale, with a comfortable “Meets Expectations” where they can park 80% of their team, switch to a 4-point rating scale. Every rating given would be backed with deliberate thought. It involves a small configuration change, but the impact is significant. Furthermore, leveraging automated rating calculation can limit the scope for arbitrary or inconsistent scoring. 

As per Harvard Business Review’s article How Gender Bias Corrupts Performance Reviews, and What to Do About It, the fix for gender bias starts with having 360-degree feedback. Oracle’s Performance Management is well-equipped to do this. It can be used to allow input from supervisors, matrix managers, and even peers, while check-ins can be set up for regular touchpoints throughout the year rather than a single end-of-cycle review. In addition to this, the performance rating scale can be fixed by using outcome-specific, gender-neutral criteria that evaluate what an employee did, not who their manager thinks they are. 

And then there’s AI. An AI agent, in combination with your HCM data, will not wait for the HR or anyone else to ask these questions. It keeps monitoring, flagging managers whose ratings have drifted beyond one standard deviation from the peer group, shedding light on compa-ratio and ratings mismatch, running a check on gender bias using demographic attributes automatically. This may sound like a distant possibility, but this is what outcome-based tools like HindsightAI are already designed to do – to not let your data vanish into the dark before the window closes. 

Curiosity was built to explore a planet about 140 million miles away, exploring and deriving actionable insights from your HCM data should be an easier problem to solve. 

 

From Stockouts to Seamless Operations Using Mobile Inventory

Introduction 

Inventory accuracy keeps manufacturing running smoothly and when it’s off, the ripple effects hit production, deliveries, and costs all at once. 

Even with an ERP system in place, many warehouses across Manufacturing, Utilities, and Distribution still depend on paper-based processes more than we expect. Without Mobile Inventory in the picture, those manual workflows slow everything down, delay real-time transactions, and quietly erode inventory accuracy day by day. 

And as operations grow, the gap between what’s happening on the floor and what’s showing up in the system tends to widen. Without Mobile Inventory keeping things in sync, that gap doesn’t just stay it compounds. 

Problem Statement: Paper-Based Processes Slows Down Warehouse Operations  

Many businesses operating round the clock process millions of transactions over a given period, yet their warehouse teams still rely on paper to record them, only entering the data into the system afterwards, a habit which drains productivity quietly and significantly. The workflow followed this pattern: 

  • PO Receiving: Operators first received the goods at the dock and only later went back to update the receiving transactions in the system. 
  • PO Put Away: Once quality checks were completed, items were put away in their respective locations, and the putaway details were entered into the system afterward. 
  • Pick Confirm: Materials were picked from different warehouse locations, with pick confirmations being done in the system after the physical picking was completed. 
  • Sub‑Inventory Transfer: Goods were moved between subinventories during the shift, but transactions were typically entered into the system at the end of the day. 
  • Cycle Count: Operators walked through the warehouse with paper count sheets, recorded quantities manually, and entered the numbers into the system later in the afternoon. 

In conversations with customers facing this challenge, a common frustration surfaces production lines running in real time while inventory data lags by hours. 

Key Challenges 

Challenge Business Impact
Batch Processing Inventory updates lagged 4-8 hours, making system availability highly unreliable and causing planning errors.
Serialized Tracking Manual lot/serial entry created compliance risks especially critical for aerospace and defence contracts.
Lost Components Warehouse teams spent 8–10 hours every week searching for items that the system incorrectly showed as “available”.
Labor Costs Nearly 15% of operator time went into non-value-added manual data entry.
Audit Anxiety Serialization and traceability reports took 3-5 days to prepare during audits.

The Solution: Oracle Fusion Mobile Inventory 

We can deploy Oracle Fusion Cloud Inventory with the modern Redwood Mobile experience. The biggest change simple yet transformative: Inventory management directly into the hands of the operators, in real time. 

Key Functionalities which can change the entire Inventory Management Game 

1. Redwood Mobile User Experience 

The new Redwood interface can be provided to operators with: 

  • A clean, intuitive UI 
  • Quick organization selection 
  • Smart list of values and context switching. 
  • Smooth barcode scanning 
  • Faster data entry with minimal training 

Operators can adapt technology quickly and became comfortable with the new design. 

2. Comprehensive Mobile Transaction Support 

We can enable major warehouse processes on handheld devices: 

  • Receive Goods – Scan PO, capture serial/lot details, confirm instantly. 
  • Inspect Goods – Scan items, mark them as Pass or Fail, log results instantly. 
  • Put Away Goods – Scan receipt lines, select storage locations, complete put away. 
  • Pick Confirm – Scan items against pick slips, validate via barcodes. 
  • Cycle Count – Real time count capture without paper. 
  • Sub inventory and Interorganization Transfer – Scan source and destination, confirm with barcode. 
  • Miscellaneous Issue – Issue material against account aliases directly from the mobile. 

3. PAR Management for Critical Production Items 

Planners can now scan PAR bins directly using device cameras. 

The system automatically: 

  • Captures quantities. 
  • Identifies shortfalls. 
  • Triggers replenishment instantly 

This ensured zero downtime for critical items. 

The Transformation: Business Outcomes of Mobile Inventory  

1. Real-Time Inventory Accuracy

Earlier, discrepancies were identified days after they occurred, delaying corrective actions and limiting operational visibility. Implementing Oracle Mobile Inventory can enable real-time recording of warehouse transactions at the point of activity helping eliminate the gap between system records and physical stock. This can allow planners to rely on accurate, up-to-date data, reduce delays, and make faster, more confident decisions. 

2. Reduction in Manual Data Entry

Swapping paper and pen for barcode scanning made a real difference operators work faster, and we got back significant capacity that was previously lost to manual logging. With Mobile Inventory that time is now spent on work that matters. Every scan also captures individual performance data automatically, so KPIs track themselves. 

3. Regulatory Compliance Can be Achieved 

For businesses handling lot and serial traceability a requirement enforced by body like ISO 9001, replacing manual processes with barcode scanning makes a tangible difference. What once took five days to prepare for an audit came down to just four hours, simply because the data was accurate, timestamped, and readily available from the moment each transaction was recorded. 

4. Optimized Safety Stock Levels

With reliable, real-time inventory data, businesses can reduce safety stock by 20–30%, directly freeing up working capital that was previously locked in excess buffer stock. Combine that with PAR-level replenishment which automatically triggers restocking of critical items before a shortage can disrupt production and the result is a leaner, more responsive inventory that works for the business rather than against it. 

Also Read: The Hidden Gap Between Your Warehouse and Your General Ledger

Closing Thoughts 

A lot of customers still run on paper clipboards and batch uploads. There’s a 4–8-hour gap between what’s happening on the floor and what the system knows. 

Mobile inventory closes that gap. Traceability that used to take 2–3 hours now take 30 seconds. Warehouse operators will stop walking back to desk and may start working from wherever the work is happening. 

Oracle BI Publisher Security Framework: Protecting Data at Every Layer

Introduction 

Oracle BI Publisher (BIP) is the enterprise reporting engine at the heart of Oracle Fusion’s reporting and analytics platform. It handles everything from creating, formatting, and distributing highly formatted reports such as invoices, purchase orders, payroll slips, and financial statements. Since reports often surface sensitive business data like headcount, financials, PII; Security is not an optional layer you add at the end, it is a first-class design concern from the very start of every BIP implementation. 

Oracle BIP security operates at two distinct levels that work together: 

  • Data Level: What data can a user see inside a report that they are allowed to run? 
  • Folder Level: Which reports and data models can a user even see, open, or run? 

For example, Folder Level Security may allow multiple managers to access the same sales report stored in a shared folder. However, without Data Level Security, all managers might see all company sales data, including regions or business units they should not access. By applying Data Level Security, each manager only sees their assigned region or department data, even though they run the same report. 

Together, these layers ensure proper governance, confidentiality of sensitive information, and compliance with enterprise security policies within BI Publisher reporting. 

A. Data Level Security in Oracle BI Publisher

Data-level controls are a core component of Oracle BI Publisher security. It governs the rows and values returned by a report’s data model. Even if two users run the same report, they should see only the data they are authorized to see. In Oracle Fusion BIP there are two practical approaches to achieving this. 

A1. Based on the Logged-In User 

Oracle Fusion applications expose a set of Secured List Views (SLVs) that are pre-wired to the Fusion security framework. When a BIP data model queries an SLV instead of a raw base table, the view automatically filters its output based on the identity of the currently logged-in user and the data access grants assigned to that user’s roles. 

Consider an HCM example. The base table for person records is PER_ALL_PEOPLE_F. If you write: 

INSECURE: returns all person records to everyone 

SELECT person_id, person_number FROM PER_ALL_PEOPLE_F 

WHERE TRUNC(SYSDATE) BETWEEN effective_start_date AND effective_end_date 

Any user who can run the report will see every person in the organization. Replace the base table with its secured counterpart: 

SECURE: returns only the persons the logged-in user has access to 

SELECT person_id, person_number 

FROM PER_PERSON_SECURED_LIST_V 

WHERE TRUNC(SYSDATE) BETWEEN effective_start_date AND effective_end_date 

The SLV PER_PERSON_SECURED_LIST_V enforces the HCM data roles assigned to the user, meaning an HR specialist scoped to one business unit sees only that unit’s employees. 

Table Name Secured List View Roles Having Privilege
PER_ALL_PEOPLE_F PER_PERSON_SECURED_LIST_V Documents of Record Transaction Analysis duty role
Payroll Transaction Analysis duty role
Workforce Transaction Analysis duty role
PER_PERSONS PER_PUB_PERS_SECURED_LIST_V Documents of Record Transaction Analysis duty role
Payroll Transaction Analysis duty role
Workforce Transaction Analysis duty role
PER_ALL_ASSIGNMENTS_M PER_ASSIGNMENT_SECURED_LIST_V Human Resource Analyst job role
HR_ALL_ORGANIZATION_UNITS_F PER_DEPARTMENT_SECURED_LIST_V Absence Management Transaction analysis duty role
Payroll Transaction Analysis duty role
Vacancy Transaction Analysis duty role
Workforce Transaction Analysis duty role
HR_ALL_ORGANIZATION_UNITS_F PER_LEGAL_EMP_SECURED_LIST_V Payroll Transaction Analysis duty role
HR_ALL_POSITIONS_F PER_POSITION_SECURED_LIST_V Absence Management Transaction analysis duty role
Payroll Transaction Analysis duty role
Vacancy Transaction Analysis duty role
Workforce Transaction Analysis duty role
PER_LEGISLATIVE_DATA_GROUPS PER_LDG_SECURED_LIST_V Payroll Transaction Analysis duty role
PAY_ALL_PAYROLLS_F PER_PAYROLL_SECURED_LIST_V Payroll Transaction Analysis duty role
CMP_SALARY CMP_SALARY_SECURED_LIST_V Compensation Transaction Analysis duty role
PER_JOBS_F PER_JOB_SECURED_LIST_V Absence Management Transaction analysis duty role
Payroll Transaction Analysis duty role
Vacancy Transaction Analysis duty role
Workforce Transaction Analysis duty role
PER_LOCATIONS PER_LOCATION_SECURED_LIST_V Absence Management Transaction analysis duty role
Payroll Transaction Analysis duty role
Vacancy Transaction Analysis duty role
Workforce Transaction Analysis duty role
PER_GRADES_F PER_GRADE_SECURED_LIST_V Absence Management Transaction analysis duty role
Payroll Transaction Analysis duty role
Vacancy Transaction Analysis duty role
Workforce Transaction Analysis duty role

etc. 

All these privileges are available through the “Workforce Confidential Reporting” duty role, which is inherited by the Human Resource Analyst job role. 

For financial modules like Payables and Receivables, data security requires an additional step: initializing the multi-org session before the main query executes. This is done in the data model’s Before Data trigger using MO_GLOBAL.INIT, as shown below: 

Initialise the Payables session context for the logged-in user 

DECLARE  

  TYPE refcursor IS REF CURSOR;  

  xdo_cursor refcursor;  

BEGIN  

  MO_GLOBAL.INIT('AP_MANAGE_PAYABLES_INVOICE_DATA');  

  OPEN :xdo_cursor FOR   

  SELECT SYSDATE run_date FROM DUAL;  

>END; 

AP_MANAGE_PAYABLES_INVOICE_DATA is the Fusion privilege that grants access to Payables business units. The corresponding privilege for Receivables is AR_VIEW_RECEIVABLES_ACTIVITIES_DATA. Without this initialization call, a report against AP or AR secured tables may return no data or return all data regardless of the user’s actual business unit access, both outcomes are incorrect. 

Benefits of MOAC Security: 

  • Dynamic Row-Level Security: Data access restrictions are enforced transparently through database synonyms. 
  • Centralized Security Management: Data visibility is governed through user roles and privileges defined in the Fusion security framework. 
  • Consistent Reporting Security: Reports that reference MOAC-enabled synonyms automatically inherit the underlying data access controls, supporting compliance. 
  • No Changes Required to Core Tables: Developers interact with synonyms rather than base tables, reducing the risk of security gaps while simplifying development. 

A2. Specific Data Set: Hardcoding Roles or Using Session Variables 

There are scenarios where you cannot or do not want to rely on the automatic SLV filter. You may need to restrict data to a specific set of users at query time, for example showing a manager only their own direct reports or limiting a report to the user who submitted a specific request. Oracle BIP provides session variables that are available inside the data model query at runtime. 

The key session variables: 

Session Variable What It Returns
:xdo_user_name The username of the currently logged-in user
FND_GLOBAL.USER_NAME Same as above, via the FND global package
fnd_global.user_guid The user’s GUID in the identity store
HRC_SESSION_UTIL.get_user_personid The Person ID of the logged-in user (HCM-specific)
fnd_profile.value(‘PER_BUSINESS_GROUP_ID’) The user’s assigned business group
USERENV(‘LANG’) The session language

An example of hardcoding a session variable into a query to restrict a self-service report: 

SELECT CONTACT_TYPE ,CONTACT_PERSON_ID 

FROM per_contact_relationships 

WHERE person_id = ( 

SELECT user_id 

FROM PER_USERS 

WHERE username = FND_GLOBAL.USER_NAME ) 

This technique is appropriate when the filtering logic is intentional, deliberate, and part of the report’s design specification. However, hardcoding should be done consciously, not as a substitute for proper secured views.  

B. Folder Level Security in Oracle Fusion BI Publisher 

Folder level security is a foundational aspect of Oracle BI Publisher security. It governs visibility and access to the objects in the BIP catalog: Reports, Data models, sub-templates, and dashboards. This is configured in the BI Catalog and operates entirely independently of the data level. A user must pass both layers to successfully run a report. 

For a user to run a report, their role must have Read permission on every catalog object referenced by the report, at minimum the report itself and the data model. If the report references a sub-template or style template, read permission must be granted on those objects too. 

There are two approaches to managing folder-level security in Oracle BI Publisher. 

B1. Permission-Based Access (Direct Object Permissions) 

The simplest approach is to grant permissions directly on a folder or report to a specific user. In the BIP catalog, navigate to the object, click More → Permissions, and assign one of the following permission levels to a user or role: 

  • Read 
  • Traverse 
  • Write 
  • Delete 
  • Change Permissions 
  • Set Ownership 
  • Run Publisher Report 
  • Schedule Publisher Report 
  • View Publisher Output 
  • Full Control – all of the above 

 Below are the Two checkboxes we get while giving the Permission to Folder 

  • Apply permissions to sub-folders 
  • Apply permissions to items within folder 

On selecting those, permissions granted at the folder level are inherited by all objects within that folder. This means you can set permissions once on a parent folder, and all child reports and data models automatically inherit those permissions. 

This approach is practical for one-off access grants or small teams. It becomes hard to manage at scale, because you end up tracking individual user names against dozens of catalog objects with no central governance. 

B2. Role-Based Access (Abstract/Dummy Role Pattern) 

The recommended and scalable pattern for folder-level security is the Abstract/Dummy Role approach. Here is how it works: 

  • Step 1 Create a Custom Role. In BIP Administration, navigate to Security Center → Roles and Permissions and create a new role with a meaningful name, for example CUSTOM_FINANCE_RPT_VIEWER. This role has no inherent BIP functional privileges of its own, it is a pure organizational container. Ensure you select “BI – Abstract Roles” as the Role Category; otherwise, you won’t be able to add it as an Application Role in the Permissions tab of the object (DM, Report, or Folder). 

Role-Based Access (Abstract/Dummy Role Pattern)

  • Step 2 Assign the Role to the Catalog Object. Go to the folder or report in the catalog, open its Permissions, and add this custom role with the appropriate permission level (typically Read for report consumers, Read/Write for developers). 

oracle bi publisher security

 

  • Step 3 Assign the Role to Users. Back in Security Center, assign CUSTOM_FINANCE_RPT_VIEWER to every user who should have access to those objects. When a user is later removed, simply remove the role from their profile; no catalog permissions need to change. 

This pattern aligns directly with Oracle’s own best practice guide. 

The advantage over direct user assignments is significant. When 50 users need access to a Finance reports folder, you add one role to the folder’s permissions and assign that role to 50 users, rather than manually adding 50 individual entries to the folder’s permission list. When an employee leaves, removing the role from their user profile is sufficient. 

How it connects to Oracle Fusion Job Roles: In Oracle Fusion Cloud (SaaS), BIP catalog permissions can reference both BIP-native custom roles and Oracle Fusion Duty Roles. Duty Roles are stored in the Fusion Policy Store and carry reporting privileges in the BI repository and catalog. This means a user who already has, say, the Financial Analyst Job Role in Fusion will inherit its associated Duty Roles like “Run Receivables to General Ledger Reconciliation Report”, “Run Payables to General Ledger Reconciliation Report” etc., which already include read access to certain catalog folders without any BIP-specific configuration needed. Understanding this inheritance chain is critical to avoiding accidental over-exposure. 

Closing Thoughts

Security in BIP reports shouldn’t be the last checkbox before go-live. When you try to bolt it on after the fact, you end up rewriting SQL, reworking data models, and cleaning up permissions that were handed out without a plan. That rework is always more painful and more expensive than getting it right from the start, especially when the reports touch payroll, financials, or employee PII.

The approach worth following is straightforward: lock down the data layer using secured views, and control catalog access using the Abstract or Dummy Role pattern. This two-level model isn’t just a recommendation floating around in consulting circles. It’s how Oracle actually designed Fusion security to work. When you build your reports this way, you stay aligned with the platform architecture, audits become simpler, and scaling your reporting environment down the road doesn’t turn into a security firefight.

If there’s one thing I’d want any implementation team to take away, it’s this: treat BIP security as part of your build, not as a problem for later. The effort upfront is minimal. The cost of getting it wrong is not.