Can you trust your reports and visuals?
Do you rely on reports to run the business — or to explain losses after they happen?
Dashboards tell you what already hit your P&L.
They do not tell you what is forming underneath it.
Power BI, Tableau or any reporting tool explain what happened.
Data Insight reveals what is quietly building and what can happen — and what it will cost you next if ignored.
Every major financial shock starts as a small, invisible pattern buried inside the data:
margin leakage, claim severity shifts, inventory imbalance, customer risk, case weakness.
If you are running the business from reports, you are reacting.
If you are running it from Data Insight, you are intervening before the damage appears.
Ten minutes with this demo will permanently change how you see your numbers — and how much risk you are actually carrying.
Static reporting is backward-looking by design
Power BI, Tableau, Looker, etc. are presentation layers.
They show you:
Revenue
Margin
Volume
KPIs
Trends
Variances
All of that is useful — but it’s already in your P&L.
Data Insight works on signals, not totals
Executives don’t lose money because they lack dashboards.
They lose money because weak signals are buried inside averages.
Data Insight does not ask:
“How did we do last month?”
It asks:
“What pattern is forming that will hit our numbers next?”
The brutal truth executives know
If Power BI or Tableau really solved risk:
Banks wouldn’t blow up
Insurers wouldn’t miss reserve gaps
Retailers wouldn’t get stuck with dead inventory
Manufacturers wouldn’t have sudden margin collapses
Law firms wouldn’t lose cases they thought were “fine”
They all had dashboards.
What they didn’t have was early-warning insight.
That is exactly the gap your Data Insight + Blind-Spot model fills.
Observe in the demo shown below how deep the AI Insight goes to identify issues, also known as blind spots, and suggest recommendations to fix them with executive action items. Humans miss out on the blind spot, but AI does not. I specialize in identifying blind spots, which in turn saves thousands, as “prevention is better than cure.” Once it hits P&L, it’s too late to reverse. Witness in demo.
Feel free to play around with these data sets.
Maybe your dataset too could tell you a story. Prevent losses before it’s too late. Insight is all about reading between the lines and predicting early.
What is needed?
- Data set which could be in CSV or Google Spread Sheet or any Schema. If you want please provide Fact and Dimension tables which supports your reporting or dashboards and we will run our model on it to answer questions. If you want to keep your data set confidential, that’s ok. Just make sure the data set which you will provide do not have any structural change.
- Relevant question around your dataset.
- Get 5 – 6 questions answered for every dataset. Dataset could be any subject area.
- Monthly maintenance will include 1 question answered every month (if asked) from the same dataset in addition to maintenance of fact and dimension tables into the LLM model.
Build Proof Of Concept (PoC)
If you are not absolutely certain what your data is not telling you—what hides between the lines—you are already exposed.
Most business damage doesn’t arrive with alarms.
It settles quietly into your P&L, one decision at a time—missed signals, delayed reactions, false confidence from “good” reports. By the time it becomes visible, the loss is already booked and cannot be reversed.
Waiting costs far more than acting.
Introduce yourself and receive a complimentary 3-question insight analysis from one dataset.
No assumptions. No theory. Just facts your data has already recorded.
The small amount you invest in clarity today can prevent thousands in silent leakage tomorrow.
Because losses caused by ignored data don’t announce themselves—
they only show up later, when it’s too late to undo them.
Pricing
Designed to lower AI operating cost while improving decision quality.
The retainer model gives you access to the capabilities required to run and improve predictive and LLM-based models—without carrying the fixed cost of full-time Subject Matter Experts (SME’s), AI engineers, Analysts, or Architects.
You get clean data, governed models, and usable insights—focused on outcomes, not headcount.
The demo shown below is a proof of what will be delivered. Depends on dataset and questions.
There are 2 cost components. (i) Set Up (ii) Maintenance
Setup would depend on the size of table(s) and number of tables which the LLM has to be trained with.
Retainer would involve monthly maintenance and also includes small alterations like adding executive questions on the same data set.
Only pay for extra work when needed
Data preparation and enrichment available at $100/hour, subject to availability
USA Average Rate for Data Insights
Our set up rate would depend on (i) database size (ii) number of tables (iii) number of questions
We provide a new domain to every client to manage the app for you.
Dashboards explain what already happened. Data insight reveals what is forming next.
Reports summarize outcomes after financial impact is locked in; insight exposes early signals, hidden risk, and decision leverage while there is still time to act.
That difference is the margin between managing results and leading outcomes.
Interactive Demo for Financial, Supply Chain, Manufacturing, Insurance, Retail, Pharma, and Law Industries.
Financial Industry
Supply Chain
Manufacturing Industry
Insurance Industry
Retail Industry
Pharma Industry
Law Industry
Power BI, Tableau, and similar reporting tools are excellent at visualization and reporting, but they primarily show predefined metrics and historical trends. They answer questions you already decided to ask.
Data insight comes from how data is explored, questioned, and interpreted—not from the tool itself.
Without analytical framing, pattern discovery, and decision-focused interpretation, BI tools remain reporting engines, not insight engines.