Solutions
Analysis at the scale of the whole organization, in the hands of the people who decide.
01Overview
Most organizations have more data than answers. Finance, operations and sales each run a report that is correct by its own definition, and the three do not match. A senior meeting begins with an argument about the numbers. Business intelligence done well ends that argument by agreeing definitions once, putting them in a shared layer and building every view from it.
We build that layer and the experiences on top. A semantic layer holds metrics such as revenue, active customer, days sales outstanding and portfolio at risk, each with an owner and a calculation. Analysts and tools query it, so a number means the same thing in a spreadsheet, a dashboard and an agent answer. Natural-language analytics lets a manager ask a question and get an answer with the query, the definition and the sources shown.
We build for decisions rather than for charts. A branch manager needs to know which loans need a visit today. A procurement lead needs to know which suppliers are late. We design views around those decisions and connect them to the next step, whether that is a task, a message or an approved action. Dashboards are the start, not the finish.
02
We often begin with a simple exercise. We ask five teams to calculate the same metric from their own data. The answers differ, sometimes by a lot. We trace each difference to a definition, a timing rule or a data error, and then resolve it with the owner.
That exercise is the foundation of a trusted layer. After it, a number on a screen can be clicked through to its definition, its calculation and its source. Trust is built by showing the working, not by asserting the answer.
03What you get
We define metrics, dimensions and business rules in one governed layer that sits between your data and every analytical tool. Each metric has an owner, a description and a test. The layer works with spreadsheets, BI tools, APIs and agents.
Agree the number once and reuse it everywhere.
Managers ask questions in plain language, in English or French and, where models support it, in local languages. The system translates the question into a governed query, runs it and shows the answer with the definitions and sources. Where it is unsure, it asks a clarifying question rather than guessing.
Answers people can check will be used.
We design views around the decisions people make: who to call, what to approve, where to send stock. Each view shows the few measures that matter, the trend and the next action. We test layouts with the users and remove anything they do not use.
A dashboard no one acts on is decoration.
We add tests for freshness, completeness and plausibility, and show data health on the views themselves. Lineage shows how each number was produced, from source through transformation. Issues route to the owner of the source.
Data problems should be visible before a meeting.
We add forecasts and statistical analysis for demand, cash, portfolio risk and capacity. Models use the same governed inputs and publish their error. Analysts can extend them in notebooks and promote the result to the shared layer.
Looking ahead beats explaining the past.
We connect analysis to workflows. A flagged account creates a task for a relationship manager. An anomaly in stock opens a review. The result of each action returns to the data, so you can learn what works.
Outcomes improve when insight reaches a person who can act.
Free 30 minutes with an engineer.
04African sectors
Situation
Branch managers need to know which clients are at risk of missing payments, but reports arrive weeks late and differ by region.
What it does
A governed portfolio-at-risk metric and a daily branch view list accounts to visit, with the reasons and history.
Human decides
The branch manager decides whom to visit and what terms to discuss.
05Boltcliq platform
Boltcliq product
Provides the semantic layer, natural-language questions and applications built on shared objects.
Every team uses the same definitions.
Boltcliq product
Applies access rules so people and agents see only the rows and fields they should.
Analytics respect confidentiality.
Boltcliq product
Tracks query use, answer quality and cost, so you know what is used and trusted.
You can retire what nobody uses.
06
Does
Does not
07FAQ
Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
Business Intelligence
Tell us the problem. An engineer, not a salesperson, answers.
Analysis at the scale of the whole organization, in the hands of the people who decide.
