01.2 · DATA ANALYTICS

All of your data, working as one.

We connect the ERP, core banking, point-of-sale, payroll and spreadsheet data your organisation already relies on, then clean, model and govern it. The result is a single, trusted data foundation for finance, operations and AI.

0+
source systems integrated for clients
0 TB
of client data under managed pipelines
0%
pipeline success rate across managed estates
0 wks
to the first governed data mart
SCOPE OF WORK

What our work covers.

Choose the full scope or only the workstreams you need. Each one comes with defined deliverables, a named owner on our side and a clear sign-off on yours.

  1. 01.2.1

    Data strategy and readiness

    An inventory of every source, owner and report, scored for quality and business value, ending in a target architecture and a sequenced plan that delivers something useful within the first two months.

    Deliverables
    • Source-system inventory and data map
    • Readiness and maturity scorecard
    • Target architecture and 12-month plan
  2. 01.2.2

    Integration and automated pipelines

    Batch and near-real-time pipelines that extract from each source, apply business rules once and land the data in a central platform, monitored and alerting before anyone notices a gap.

    Deliverables
    • Pipelines for every agreed source
    • Monitoring and alerting runbook
    • Interface specifications
  3. 01.2.3

    Warehouse and lakehouse build

    A cloud or on-premises warehouse designed around how your business is measured: subject-area models for finance, sales, inventory and HR, with history kept so trends can be trusted.

    Deliverables
    • Physical data model
    • Finance, sales, inventory and HR marts
    • Performance and cost tuning
  4. 01.2.4

    Data quality and governance

    Ownership, definitions, quality rules and lineage, so every figure can be traced back to the transaction that created it and every issue reaches the person who can fix it.

    Deliverables
    • Data-quality rule library and scorecard
    • Business glossary and data catalogue
    • Ownership and stewardship model
  5. 01.2.5

    Modelling and advanced analytics

    Profitability, cost-to-serve, cohort, basket and portfolio analyses built on the governed data, by analysts who understand what the CFO will ask next.

    Deliverables
    • Analytical models and notebooks
    • Insight reports with recommendations
    • Reusable analysis templates
  6. 01.2.6

    Regulatory and group consolidation

    Automated consolidation for multi-entity groups and regulatory returns for banks and financial institutions, reconciled to the ledger before submission.

    Deliverables
    • Automated consolidation workflow
    • Regulatory return datasets
    • Reconciliation and sign-off controls
HOW THE ENGAGEMENT RUNS

A typical 22-week data foundation programme.

  1. 01
    Assess
    Weeks 1–3
    • Source inventory
    • Quality profiling
    • Stakeholder interviews
    OutputReadiness report and roadmap
  2. 02
    Architect
    Weeks 4–5
    • Platform selection
    • Security and access model
    • Data model design
    OutputApproved architecture
  3. 03
    Build foundation
    Weeks 6–12
    • Core pipelines
    • Finance data mart
    • Monitoring and alerting
    OutputFirst governed mart live
  4. 04
    Extend
    Weeks 11–19
    • Sales, inventory and HR marts
    • Quality rules and scorecards
    • Analyst enablement
    OutputEnterprise data platform
  5. 05
    Govern and hand over
    Weeks 19–22
    • Catalogue and glossary
    • Stewardship training
    • Run-book hand-over
    OutputSelf-sustaining data function
  6. 06
    Managed run
    Week 23 onwards
    • Pipeline monitoring
    • New sources on request
    • Quarterly quality review
    OutputMonthly platform report
COMMITMENTS

Standards built into every data platform.

Daily
refresh as standard, intraday where the decision needs it
99.5%
pipeline success target with automated alerting
100%
of financial measures reconciled to the general ledger
Every table
catalogued with an owner, definition and lineage
SELECTED ENGAGEMENTS

Proven results for leading organisations.

We keep our clients' identities confidential, but we are proud to share what we achieved together and how we went about it.

ManufacturingNDA

A diversified textile group with four mills

Challenge

Each mill ran a different system, so group results took twelve days to consolidate and the board saw three versions of cost of goods sold.

Approach

A central warehouse fed nightly from all four systems, a common chart of accounts mapping and a single costing model agreed with every mill’s finance head.

12 → 3 days
group consolidation time
18
manual workbooks retired
1
agreed version of product margin
Financial servicesNDA

A microfinance institution with 200+ branches

Challenge

Portfolio-at-risk was visible only monthly, and regulatory returns took a team five days to compile by hand.

Approach

Loan-level data from the core banking system loaded daily into a governed warehouse, with automated quality checks and return templates generated directly from it.

Daily
portfolio-at-risk visibility, from monthly
5 days → same day
regulatory return preparation
71% → 96%
data-quality score in six months
WHO YOU WORK WITH

A senior team, dedicated to you.

  • Data architectDesigns the platform and keeps it coherent as it grows.
  • Data and analytics engineersBuild pipelines, models and quality rules.
  • Governance leadSets ownership, definitions and stewardship.
  • Finance specialistMakes sure the data ties back to the books.
TOOLS AND PLATFORMS

The platforms we work with.

  • Snowflake
  • Microsoft Fabric
  • Azure Synapse
  • AWS Redshift
  • Google BigQuery
  • dbt
  • Azure Data Factory
  • Apache Airflow
  • SQL Server
  • Microsoft Purview
QUESTIONS

Frequently asked questions.

Cloud or on-premises?

Either. We design for your regulators, policies and budget. Many banking clients keep sensitive data on-premises with a cloud analytics layer; most commercial clients move fully to the cloud.

How soon do we see something useful?

The first governed data mart, usually finance, is live within about eight weeks. We sequence the programme so value arrives early and funds the rest.

Who owns the platform when you finish?

You do. Everything is documented and your team is trained. If you would rather not run it, our BPO technology service can manage it under a service agreement.

START A CONVERSATION

Let’s talk about what comes next.

Tell us a little about your organisation and what you are trying to achieve. A senior member of our team will be in touch within one working day to arrange a conversation.

Thank you. A member of our team will be in touch within one working day.

Karachi (HQ)

506, 5th Floor, Progressive Centre,
30-A, Block 6, PECHS,
Shahrah-e-Faisal, Karachi, Pakistan

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Headquartered in Karachi, serving clients across Pakistan, the UAE, Saudi Arabia and Afghanistan.