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BI Reporting & Insights

Fixing what management reporting is for, before anyone argues about which tool to buy.

By Ashish Kumar Agnihotri·Last reviewed

Management reporting is a decision system that happens to produce documents. Most companies have it the other way round, and the symptoms are consistent enough to be predictable: volume where there should be signal, numbers nobody owns, arguments about whose figure is right, and a leadership team that still learns about problems late. My work is to fix what the reporting is for. That means defining the few numbers the business should be steered by, reconciling them to a single source of truth, and wiring them to an operating cadence and a set of decision rights, so that a number moving actually causes something to happen.

It is worth being explicit about what this is not. I do not sell dashboards, implement reporting platforms, or write data pipelines, and I will not recommend a software purchase as part of the engagement. That is deliberate. Almost every reporting failure I have seen was a design and governance failure wearing a technology costume, and buying a tool before settling what the reporting is for reliably postpones the real conversation by a year. I work inside whatever stack you already own. Where genuine engineering is needed, I will specify what should be built and to what standard, then leave the building to people who build.

This is not a departure from the operations work; it is the measurement half of it. Early in my career I built HR scorecards and business intelligence across 23 business units at Raymond, and ran reporting and audit programmes covering 4,500+ retail outlets across 19 telecom circles for Vodafone. Reporting at that spread teaches you quickly that the hard part is never the query. It is getting 19 circles to agree on what a number means, and then getting someone to act when it moves. The Operations Governance Scorecard I use now is the distilled version of that lesson: a small set of leading metrics, on one source of truth, attached to people who can decide.

01The problem

Most management reporting fails quietly. The pack grows longer every quarter and says less. Two functions arrive with different numbers for the same metric, so the meeting is spent reconciling rather than deciding. No figure has an owner who can explain why it moved. Dashboards get built, demonstrated once, then go unopened for months while the real decisions are made off a spreadsheet somebody maintains by hand. The company is not short of data. It is short of a small set of numbers it trusts, acts on, and can defend to a board.

02Signs you need this

When this is the right call.

  • 01

    The monthly pack has grown every year and nobody can point to a page that changed a decision

  • 02

    Two functions arrive at the same review with different numbers for the same metric

  • 03

    Dashboards were built and demonstrated once, and are now opened by almost nobody

  • 04

    Leadership learns about operational problems from customers or from the month-end close

  • 05

    Every metric has an audience but no owner who can explain why it moved

  • 06

    Consolidating across entities takes so long that the group numbers are stale on arrival

03The method

How the work goes.

  1. 01

    Start from the decisions, not the data

    The engagement opens by mapping the decisions leadership actually makes on a weekly, monthly and quarterly rhythm, and which of them are currently made without evidence. Every existing report is then tested against that list. Most fail, and the candidate deletion list is usually longer than anyone expects. Every existing report is then tested against that list. Most fail, and the candidate deletion list is usually longer than anyone expects.

  2. 02

    Define the scorecard

    Five to nine metrics that answer those decisions, chosen to cover the value chain rather than to fill a page. Each carries a written definition, a named owner, a source, a threshold, and an agreed response when it breaches. Lagging outcomes are paired with the leading signals that predict them.

  3. 03

    Reconcile to one source of truth

    Competing calculations are put side by side until the diverging rule is isolated, then a ruling is made and written into a definitions register with an owner empowered to change it. One system of record is declared final, including for the people who lost the argument.

  4. 04

    Run the cadence, then hand it over

    An exception-led operating review where only the numbers that moved get airtime, every decision leaves with an owner and a date, and the next session opens by checking the last one landed. Then a named person inside your business chairs it, and I stop.

04In depth

What this work really involves.

Why most management reporting fails

Reporting rarely fails for want of data. It fails because nobody decided what the reporting is for, and once that question goes unanswered every request for a new cut of the numbers gets granted. The pack grows by accretion and signal drowns in volume. Three symptoms follow reliably. Numbers appear that no named person owns, so when one moves nobody can say why, and the discussion turns to speculation. Definitions drift between functions until the operating review becomes an argument about whose figure is right. And dashboards multiply faster than anyone can read them, which is precisely why the real decisions get made off a spreadsheet on somebody's laptop. The cure is subtraction and ownership, not another build. I start by asking which decisions this reporting is meant to serve, and I am willing to delete anything that cannot answer.

What belongs on a leadership scorecard

Five to nine metrics. The discipline lies in the exclusion rather than the selection. Below five you are usually blind to part of the value chain. Above nine, attention thins until none of the numbers is genuinely governed and the scorecard quietly becomes a report. A metric earns its place only if it answers a decision leadership actually makes, and it arrives with five things attached: a written definition precise enough that two people compute it identically, a named owner, a source, a threshold, and an agreed response when that threshold breaches. Between them the set should cover demand, delivery, quality, cost or cash, and people, because a scorecard weighted entirely towards commercial outcomes will miss the operational causes of every one of them. Everything that does not clear the bar is not abolished. It moves one layer down, to the functional review where it belongs.

Leading indicators versus lagging ones

Most leadership teams steer on lagging numbers: revenue, churn, margin, attrition. Each describes a result after it has happened, when the cause is weeks in the past and the money is already spent. The craft is in pairing every lagging outcome with the leading signal that moves before it. Pipeline quality before revenue. First-pass yield before rework cost. Response time before churn. Time-to-fill before delivery slippage. A good leading indicator clears three tests: it moves earlier than the outcome, someone can act on it inside the current week, and it is not trivially gamed by the person measured on it. That third test matters more than people expect, because a leading indicator with no gaming defence becomes a compliance ritual within a quarter. Pair the two, and the scorecard turns from a rear-view mirror into something you can steer by.

A single source of truth is a governance problem

When two functions bring different numbers, the instinct is to buy a warehouse. It is almost always the wrong diagnosis. The figures disagree not because the data is missing but because two teams applied different rules: a different cut-off date, a different treatment of cancellations, a different exclusion for internal work. Both are defensible, which is exactly why the argument never resolves itself. A single source of truth is really three agreements. One written definition per metric. One owner empowered to change that definition, with a change logged rather than whispered. One system of record everyone accepts as final, including on the days they disagree with it. Technology can enforce those agreements once they exist. It cannot manufacture them, and no amount of engineering will settle a question of authority that leadership has declined to settle.

Cadence and decision rights

Measurement without decision rights is observation. What converts reporting into governance is deciding in advance what happens when a number crosses a line: who is notified, who decides, and what they may do without escalating further. The review that carries this looks unlike the usual one. Informational material is read beforehand, never presented. The agenda is the exceptions, so a metric inside tolerance gets no airtime at all. Each exception is driven to a decision with an owner and a date rather than to a discussion. And the session opens, not closes, by checking whether the previous cycle's decisions actually landed, because a decision taken and untracked is a decision that did not happen. Run this way, the hour earns itself, and people stop dreading the meeting because attending it changes something.

MIS for multi-entity groups

A group needs a common spine and honest local detail. The spine is the handful of metrics defined identically in every entity, so the centre can compare and consolidate without translating. Beneath it, each entity keeps the operating detail its own management needs, including measures that only make sense locally. Two failure modes recur. Forcing complete uniformity produces numbers that are comparable and meaningless. Allowing complete autonomy produces a reconciliation exercise every month that consumes the finance team and delivers stale figures. The other thing worth attacking in a group is lag, which is usually procedural rather than technical. In one multi-entity enterprise the billing approval cycle went from roughly two months to 15 days across 75 entities and more than 2,000 employees, and a large part of that came from fixing where approvals and reporting sat, not from anything new being installed.

Why I stay tool-agnostic

I do not implement platforms, build dashboards or write pipelines, and I name no product on this page for a reason. In 19 years I have not met a management reporting problem whose primary cause was the choice of software, and I have watched several get worse after a purchase that let everyone defer the real conversation for a year. Spreadsheets, a reporting module inside an ERP, a modern BI suite, or some combination of all three can each carry a well-designed scorecard, and none of them can rescue a badly designed one. So the design comes first and the tooling question comes after, by which point it is usually smaller than feared. If the settled design genuinely exceeds what your current setup can produce on the cadence you need, that becomes a scoped requirement you take to your own engineers or a vendor with clear eyes, rather than a hopeful transformation.

What you keep when I leave

The artefacts matter as much as the weeks. You keep a definitions register holding one agreed calculation per metric with its owner and its change history. An ownership map showing who is accountable for each number and who acts when it breaches. A threshold and escalation table. The review agenda and the rules that govern it, including what is read in advance and what may be discussed. The reconciliation procedure for the moments when two systems still disagree. And a change-control rule for adding or retiring a metric, which is what actually stops the sprawl returning. Alongside those, a named internal owner senior enough to hold the discipline against a stakeholder who wants a special cut. They chair alongside me, then instead of me. The test is plain: could your team run the next four reviews without calling me? If not, the work is not finished.

05What it looks like

What an engagement looks like

  • A fixed-fee diagnostic first — a written read on what your reporting is currently for and what it should contain
  • Then a monthly retainer scaled to scope, never billed by the hour; usually a defined block of weeks rather than an open-ended arrangement
  • Built on the BI stack you already own — no platform purchase, no data-engineering build, no product recommendations
  • Ends with a named internal owner chairing the review and holding the pen on the definitions register

Outcomes

  • A leadership scorecard of five to nine metrics, each with a definition, an owner, a threshold and an agreed response
  • Reconciliation arguments end, because one definition and one system of record are written down and owned
  • Leading indicators sit beside the lagging ones, so problems surface while they are still cheap to fix
  • An operating review that produces closed decisions with owners and dates, not updates
  • Reporting volume falls, and what survives is actually read

Questions

Common questions.

No, and the boundary is deliberate. I do not sell dashboards, implement platforms or write data pipelines. Those are engineering jobs, and a company that needs them should hire engineers. What I fix sits upstream of the build, which is where most reporting programmes go wrong: deciding which decisions the reporting must serve, choosing the five to nine metrics that serve them, writing one defensible definition for each, naming who owns it, and wiring the whole thing to a review with real decision rights. Where genuine engineering work is required, I will specify what should be built and to what standard, then hand that specification to your team or your vendor. The distinction matters commercially too. You are paying for judgement about what to measure, not for build hours.

Whichever ones you already own. I am tool-agnostic by conviction rather than diplomacy. In 19 years I have not seen a management reporting problem primarily caused by the choice of software, and I have seen several made worse by a purchase that postponed the real conversation for a year. Spreadsheets, a reporting module inside an ERP, a modern BI suite, or some combination of all three can carry a well-designed scorecard, and none of them can rescue a badly designed one. So I work inside your stack and recommend no purchase as part of this engagement. If, once the design is settled, your current setup genuinely cannot produce a metric on the cadence you need, that becomes a specific, scoped requirement you can take to a vendor with your eyes open.

They share a spine and differ in the entry point. Operations governance starts from how the business is steered — cadence, ownership, escalation — and builds measurement to serve that. This engagement starts from the reporting itself, which is usually how the problem is felt: the pack is too long, the numbers do not agree, the dashboards go unread. In practice the two converge, because a scorecard without decision rights is decoration and decision rights without trusted numbers are guesswork. If your operating rhythm is broadly sound and the reporting is the weak link, start here. If leadership has no working cadence at all, the governance sequence is the better one, and I will say so rather than sell you the page you happened to land on.

Five to nine, and the hard part is the exclusion rather than the selection. Below five you are usually blind to part of the value chain. Above nine, attention thins until none of the numbers is genuinely governed and the scorecard becomes a report by another name. Each metric must earn its place by answering a decision leadership actually makes, and each arrives with a definition precise enough that two people compute it identically, a named owner, a source, a threshold, and an agreed response when it breaches. Anything that fails that test is not abolished; it moves one layer down to the functional review. Leaders usually find the removal harder than the design, because the number being cut is somebody's favourite and its owner is in the room.

Usually the demand side. A capable BI team can build almost anything asked of it, which is precisely the problem when the asking is undisciplined. Every request is legitimate in isolation, and the accumulated estate is one nobody can hold in their head. I do not do the team's job. I give them a defensible specification and a way to say no: an agreed scorecard, written definitions, a named owner per metric, and a change-control rule for adding or retiring one. Most BI teams welcome that, because the alternative is being measured on ticket throughput rather than on whether the business makes better decisions. Where the team is stretched, deciding what not to build is the cheapest capacity available to you.

With the rules, not the database. When two teams produce different figures for one metric, the cause is rarely a missing table. It is that each applied a defensible but different rule — a different cut-off, a different treatment of cancellations, a different exclusion for internal work. Both are honest, which is why the argument recurs monthly and never resolves. So the first move is to place the two calculations side by side and isolate exactly which rule diverges. Then get a ruling on which one the business will use, write it into a definitions register, attach a named owner empowered to change it, and declare one system of record final even for those who lost the argument. Reconciliation stops being a monthly event once it becomes a single governance decision.

With a common spine and honest local detail. A small set of metrics is defined identically across every entity so the centre can compare and consolidate without translating, while each entity retains the operating detail its own management needs. Forcing total uniformity produces numbers that are comparable and meaningless; allowing total autonomy produces a reconciliation exercise every month and figures that arrive stale. The other target in a group is lag, which is usually procedural. Multi-entity reporting is slow far more often because approvals queue across entities than because the data is hard. I have taken a billing approval cycle from roughly two months to 15 days across 75 entities, and most of that came from redesigning where approvals and reporting sat rather than from installing anything.

It opens with a fixed-fee diagnostic: a bounded piece of work producing a written read on what your reporting is currently for, what it should contain, and where the definitions are in conflict. That is deliberately low-commitment, and some companies take the document and act on it themselves. If we continue, the work moves to a monthly retainer scaled to scope and never billed by the hour, because hourly billing rewards slowness and this work should be finite. Most reporting engagements run as a defined block of weeks rather than open-ended. Designing the scorecard is not the long part; running the cadence until the discipline holds without me is. The retainer ends when a named person inside your business chairs the review and maintains the definitions.

Two things, and neither is technological. The first is a change-control rule: adding a metric to the leadership scorecard requires naming the decision it serves and, ordinarily, retiring one that no longer earns its place. That single constraint prevents most accretion, because it forces the trade-off to be made out loud rather than absorbed quietly. The second is ownership with standing. If the definitions register and the review belong to someone junior, the discipline erodes the first time a senior stakeholder wants a special cut. So developing a credible internal owner is part of the work, not an afterthought: they chair alongside me, then instead of me, and they hold the pen before I go. Expect to revisit the scorecard once a year, because the numbers that matter change as the business does.

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