Dytaforce

Data consultancy · BI · Architecture · AI

Your data has been trying to tell you something.

Dytaforce helps organisations move from scattered, hard-to-trust data to fast, reliable insight. We translate the noise, then hand you the keys so you stay fully in control of what it says.

Book a free 30-min call See what we do
  • Clean
  • Documented
  • Owned by you

00 First contact

Nobody should have to doubt their own numbers.

We're a data consultancy specialising in BI migration, modern data architecture, in-house reporting tools and AI assistants trained on your own data.

Our approach is simple: build solutions that are clean, documented and owned by you, so you are never locked into a platform or dependent on us to keep things running.

01 What we do

Five ways we help your data make sense.

01

BI Migration to Power BI

Moving house, without losing anything precious.

Many organisations outgrow their reporting platform because of cost, licensing, complexity or a move to the Microsoft ecosystem. We migrate your reports and logic to Power BI with minimal disruption.

  • Tableau
  • Looker
  • Alteryx
  • Qlik
  • SSRS
  • Excel & legacy tools

What's included

  • Inventory and audit of existing reports, data sources and calculations
  • Prioritisation: what to migrate, rebuild, simplify or retire
  • Data model redesign (star schema, relationships, measures in DAX)
  • Translation of calculated fields, LODs, LookML logic and workflow steps
  • Dashboard rebuild with matching or improved visuals and usability
  • Validation: side-by-side number reconciliation against the old reports
  • User training, documentation and handover

Outcome Lower licensing cost, one consistent platform, faster reports and a cleaner semantic layer.

02

Medallion Architecture Setup

From raw to refined, one layer at a time.

We design and implement the Bronze, Silver and Gold layered architecture, so your data is progressively cleaned and made analytics-ready.

  1. Gold Business-ready models, aggregates and metrics for reporting and AI
  2. Silver Cleaned, deduplicated, standardised and validated
  3. Bronze Raw data ingested as-is, fully traceable

What's included

  • Source system assessment and ingestion design (batch and streaming)
  • Implementation on Microsoft Fabric, Databricks, Snowflake or Azure Synapse
  • Data quality checks, schema enforcement and lineage
  • Orchestration, scheduling and monitoring
  • Naming standards, governance and access control

Outcome A single trusted source of truth, reusable data assets and a foundation that scales.

03

Alternative Data Solutions & Architecture

Seeing beyond your own four walls.

Web, geospatial, transaction, social, satellite, app usage and public datasets can give you an edge beyond your internal numbers. We help you source it, ingest it and make it usable.

  • Competitor intelligence
  • Demand forecasting
  • Risk scoring
  • Location analytics
  • Pricing & investment research

What's included

  • Identifying relevant alternative data sources for your use case
  • Evaluating data quality, coverage, licensing and compliance risks
  • Building ingestion pipelines (APIs, scraping where permitted, file feeds)
  • Entity matching and enrichment with your internal data
  • Architecture for storing, versioning and serving external datasets
04

In-House Reporting Tools

Your reports, on your own ground.

Not every organisation wants to pay per-user licences or send data through third-party platforms. We build custom internal reporting tools that run entirely within your own infrastructure.

What's included

  • Custom web-based dashboards and report portals
  • Self-service filters, drill-downs and scheduled exports (Excel, PDF, email)
  • Role-based access and single sign-on integration
  • Hosted on your servers or private cloud, so data never leaves your environment
  • Built with open technologies to avoid vendor lock-in

Outcome Full data control, no per-seat licence costs, and reports tailored exactly to how your teams work.

05

Data-Trained AI Assistants & Chatbots

Ask a question. Get a real answer.

We build AI assistants that answer questions from your own data and documents, instantly and in plain language.

What were last month's sales by region?

What's included

  • Natural-language querying of databases and reports
  • Retrieval-based assistants over policies, manuals, contracts and knowledge bases
  • Integration with Teams, Slack, web portals or internal apps
  • Guardrails for accuracy, permissions and sensitive data
  • Option to deploy privately, keeping your data inside your environment

Outcome Faster decisions, fewer ad-hoc report requests to the data team and instant access to information for everyone.

02 The whole journey

And everything around it, with one partner.

  • Data Engineering & Pipeline Automation

    ETL/ELT pipelines, API integrations, automated refreshes and replacing manual Excel processes.

  • Data Warehouse & Lakehouse Modernisation

    Moving from on-premise or legacy databases to cloud platforms, plus cost and performance optimisation.

  • Semantic Layer & KPI Standardisation

    A single governed definition of metrics (revenue, churn, margin) so every report shows the same numbers.

  • Data Governance, Quality & Cataloguing

    Data dictionaries, ownership, quality rules, lineage and access policies.

  • Power BI Optimisation & Managed Support

    Performance tuning, report clean-up, licence review and ongoing monthly support.

  • Report Automation

    Automated distribution of recurring reports, alerts and threshold notifications.

  • Predictive Analytics & Forecasting

    Demand, sales, churn and anomaly detection models embedded into dashboards.

  • Training & Enablement

    Workshops for business users and analysts on Power BI, data modelling and AI tools.

  • Data Strategy & Assessment

    A short consulting engagement to review the current state and deliver a prioritised roadmap.

03 How we work

A steady rhythm, not a mystery.

  1. Discover

    Understand goals, systems, users and pain points.

  2. Assess

    Audit current reports, data and architecture, then define scope and priorities.

  3. Design

    Agree on architecture, data models and success criteria.

  4. Build

    Deliver in short iterations with regular demos.

  5. Validate

    Reconcile numbers, test performance and gather user feedback.

  6. Handover

    Documentation, training and optional ongoing support.

04 Working together

Start small. Stay as long as it helps.

  • Discovery package

    A short paid assessment with a roadmap and estimate.

  • Fixed-scope project

    For migrations, architecture setups and defined builds.

  • Time & materials

    For evolving or exploratory work.

  • Monthly retainer

    Ongoing support, enhancements and optimisation.

05 Why Dytaforce

Honestly? We'd rather you didn't need us forever.

Platform-neutral expertise
We know both the source and target tools, which makes migrations accurate.
No lock-in
Documented, transparent builds that you own.
Business-first
We start with the decisions you need to make, not the tools.
Practical AI
Assistants grounded in your real data, not generic chatbots.
Right-sized
Senior attention and flexible engagements without large-consultancy overhead.

06 Fluent in

The tools, in your language.

BI
Power BI, Tableau, Looker, Qlik
Data platforms
Microsoft Fabric, Azure, Databricks, Snowflake, BigQuery
Data prep
Alteryx, Power Query, SQL, Python
Orchestration
Azure Data Factory, Airflow, dbt
AI
Large language models, retrieval pipelines, vector databases

07 Who we serve

Mid-sized and large organisations in finance, retail, healthcare, manufacturing, logistics and professional services, and any team stuck with slow, costly or fragmented reporting.

08 Open channel

Tell us what's keeping you up at night.

Book a free 30-minute discovery call to talk through your reporting and data challenges. No pitch deck, just a real conversation.

Book a discovery call