Dashboards your business teams actually use

From BI architecture and dashboard development to cross-platform migrations and self-service analytics — built fast, maintained long-term, migrated without losing a single report.

Industry relevance

Banking
Critical
(Regulation)
Telco
Critical
(GDPR, NIS2)
Retail
Critical
IT/Tech
High

What IDS means by self-service analytics

Self-service without governance is just ungoverned chaos

Giving business users access to raw data without a semantic layer, naming standards, or access controls creates more conflicting numbers, not fewer. IDS builds self-service environments where users can explore freely — but within a governed structure that keeps everyone looking at the same truth.
  • Semantic layer
    Business-friendly metrics, KPIs and dimensions — defined once, used everywhere, maintained centrally.
  • Governed access
    Role-based access to the right data, with row-level security and data classification applied consistently.
  • User training
    Business user enablement programs — so the environment actually gets used, not abandoned after go-live.

Services in this domain

BI Architecture & Implementation

End-to-end BI delivery: architecture design, data modelling, dashboard development, training and rollout.

Cross-Platform Migration

Moving BI environments between platforms with proven methodology — full functionality parity, zero data loss.

Information Delivery

Reports, mobile dashboards, scheduled exports — the right data in the right format, in the right hands.

Self-Service Analytics Enablement

Semantic layers, data catalogs and governed self-service environments that put data directly in business hands.

Performance Tuning

Optimisation across database, DWH and BI front-end layers — improving speed, reliability and user experience.

BI Platform Upgrades & Consolidation

Upgrading, simplifying or merging BI landscapes to reduce cost, technical debt and maintenance overhead.

The BI problem — why it keeps happening

Reports take weeks and are outdated on arrival
Manual reporting cycles, no self-service layer, and a BI team buried in ad-hoc requests instead of building value.
Platform migrations lose functionality and business trust
Moving from OBIEE or Cognos to Power BI without the right methodology means reports that look different, feel broken, and get abandoned.
Self-service creates more confusion than insight
Without a governed semantic layer, users build conflicting reports — and nobody trusts the numbers.

Technologies we use

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Platform migration expertise

We've migrated BI environments across every major platform combination. Below are the most common paths we've delivered.
All migrations include full report inventory, functionality mapping, parallel run validation, and user acceptance testing.
OBIEE - Power BI   OBIEE - Oracle Analytics
Cognos - Power BI   Business Objects - Qlik Sense
QlikView - Qlik Sense  Tableau - Power BI

Where this domain matters most

Banking
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Financial reporting consolidation onto a single BI platform
  • Merged 3 legacy BI tools into one governed Power BI environment — reducing report production time by 60%.
Retail
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Commercial analytics for buying & planning teams
  • Self-service Qlik Sense environment enabling 200+ business users to analyse sales, margin and stock in real time.
Telco
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Subscriber analytics platform migration
  • Full OBIEE-to-Oracle Analytics Cloud migration covering 800+ reports with zero functionality loss at go-live.

Case studies

100+ Initiatives, Zero Disruption: Real-Time CreditLimit Sync in a Live Data Warehouse

Client: Leading Financial Services Group
IDS took on Project Manager, Business Analyst, and developer roles embedded directly in the client’s Group-driven change process, becoming the team trusted to translate incoming business and regulatory requirements into safe, tested changes to the platform.

Subscriber Analytics, Migrated from Cognos to Power BI

Client: A regional mobile network operator
IDS’s BI team was engaged after a referral from a data platform vendor, specifically for its documented migration path from Cognos to Power BI.

Commercial Analytics for Buying Teams

Client: A multi-brand fashion retailer
IDS migrated the QlikView estate to Qlik Sense, rebuilding the semantic layer with a governed self-service model — buyers could explore sell-through, stock cover, and markdown impact themselves, without waiting on the BI team for every new cut.

Tell us your current BI platform and what's not working

We'll propose a path forward — whether that's fixing what you have, migrating to something better, or building the self-service layer your teams have been waiting for.