Business Intelligence & Reporting

Unlock valuable insights and streamline reporting with our Business Intelligence & Reporting solutions. Make decisions traceable to the underlying numbers to drive growth.

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Overview

Empower your organization with decisions traceable to the underlying numbers using our Business Intelligence & Reporting solutions. Collect, analyze, and visualize data to transform it into actionable insights and drive business growth.

Our reporting tools provide dashboards and reports that enhance your understanding of business performance. Identify trends, make informed decisions, and drive strategic initiatives with ease.

Collaborate with our experts to design custom BI solutions tailored to your unique needs. Harness the power of data to stay ahead of the competition and optimize your business strategies.

Unlock actionable insights and drive strategic decision-making with Sibasi's Business Intelligence & Reporting tools. Visualize data trends and performance metrics to gain clear business insights.

Empower your teams with self-service analytics and reporting capabilities. Improve operational efficiency, identify growth opportunities, and make decisions traceable to the underlying numbers to enhance business performance.

Transform your data into actionable insights with our Business Intelligence & Reporting solution. Discover trends, patterns, and opportunities to optimize your strategies and share valuable insights with stakeholders.

Create interactive dashboards and detailed reports that provide clear and actionable insights. Use our BI solutions to make informed decisions and drive business growth effectively.

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What a reporting and BI project costs

Clear ranges so you can plan a budget before the first call. Pick the tier closest to your situation.

Essential

A handful of dashboards from one or two sources.

$2,000 to $5,000

one-time project

Get a fixed quote
Best fit for most organizations

Standard

A reporting suite across departments with refresh and security.

$8,000 to $16,000

one-time project

Get a fixed quote

Enterprise

An enterprise data platform with governance.

From $72,000

one-time project

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  • A range becomes a fixed price after a short scoping call. What moves a price: users and departments, data to migrate, integrations, and how much is configured versus built.
  • Optional annual support and managed governance starts at 18% of the project value per year (minimum $1,800). Changes after go-live are $85 per hour, or a prepaid 20-hour block for $1,600.
  • Prices exclude VAT (16% in Kenya) and withholding tax.

Not sure which fits? Tell us your team size and what you use today and we will point you to the right option.

What is business intelligence?

Business intelligence is the practice of bringing an organization's data together from the systems that hold it, modeling it into consistent measures, and presenting it so decisions are made from evidence rather than from whoever produced the most confident spreadsheet. In delivery terms it is usually a data model, a set of dashboards, and the pipelines that keep them current.

The failure it addresses is specific and familiar: three departments produce three different figures for the same measure, each defensible, and the management meeting is spent reconciling them rather than acting. That happens because each department calculates the measure from its own system with its own rules. The fix is not another report, it is an agreed definition of the measure, implemented once.

The second thing business intelligence buys is time. A monthly pack assembled by hand from several system exports consumes several days of skilled finance and operations time every month, and is out of date the moment it is circulated. Automating it returns that time and, more usefully, makes the numbers available continuously rather than in arrears.

What to look for in a business intelligence engagement

Business intelligence is bought as a capability rather than a licence, so evaluate the approach as much as the tooling. These are the things that determine whether the dashboards are still in use a year later.

1

An agreed definition of every measure

Before any dashboard is built, "active customer", "on-time delivery" and "cost per beneficiary" need single definitions that the business has signed off. Skipping this step is the reason most BI deployments end up disputed.

2

A data model, not a pile of reports

A modeled layer with conformed dimensions, dates, geography, product, department, so new questions can be answered without a new development project each time.

3

Automated refresh from source systems

Direct connection to the ERP, CRM, HR and line-of-business systems on a schedule. Any dashboard that depends on somebody exporting a file each month will eventually stop being updated.

4

Data quality made visible

Where source data is incomplete, the dashboard should say so rather than silently showing a lower number. Trust collapses the first time a user finds a figure quietly wrong.

5

Row-level security

A branch manager sees their branch, a regional manager sees the region, the executive sees everything, from one report rather than several copies with different filters.

6

Dashboards designed for a decision

Each dashboard should answer a specific question for a specific role. Dashboards built to display all available data get opened once out of curiosity and never again.

7

Skills transfer to your own team

Your analysts should be able to build and modify reports after the engagement. If every change requires the implementer to return, the capability was never actually delivered.

Frequently asked questions about business intelligence

How much does a business intelligence deployment cost?

Sibasi delivers BI and reporting from USD 2,000 to 5,000 for a basic engagement, typically one data source and a focused set of dashboards for a single function. A standard deployment is USD 8,000 to 16,000 covering several sources with a modeled layer and automated refresh; a premium deployment starts from USD 72,000 for an organization-wide platform with multiple integrated sources, row-level security and governance. Power BI licensing is purchased separately in your own name, and many organizations already hold it within Microsoft 365.

Do we need a data warehouse first?

Not usually, and insisting on one is a common way to spend a year before delivering anything visible. Most organizations start by modeling directly against source systems for a focused set of questions, which delivers value in weeks and, importantly, reveals what the data actually looks like. A warehouse becomes justified when source volumes, history requirements or the number of systems make direct connection impractical. We would rather tell you that in month eight than assume it in month one.

Why do dashboards stop being used?

Three reasons, in order of frequency. The refresh broke and nobody noticed, so the figures went stale and users lost trust. The dashboard displayed data rather than answering a question, so it had no place in anyone's routine. Or the numbers disagreed with a figure someone else produced and the discrepancy was never resolved, so both were abandoned. All three are avoidable, and all three are about the engagement rather than the tool.

Can it combine data from systems that were never designed to talk to each other?

Yes, and that is generally the point. Finance, HR, CRM, operational and legacy systems can all be brought into one model, including systems with no modern API where extraction is handled at the database or file level. The genuine difficulty is rarely technical connection; it is reconciling entities that exist in several systems with different identifiers and different spellings, which is data work rather than integration work.

Who should own reporting after the project ends?

Someone in the business, named before the engagement starts. Reporting that is owned by IT tends to answer technical questions accurately and business questions late. The most durable arrangement we see is a business analyst embedded in finance or operations who maintains the model and builds new reports, with IT owning the platform and the data pipelines underneath.

Ready to get started with Business Intelligence?

Let's discuss how this solution fits your organization's goals.

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