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The Power BI &
Synapse experts.

We've combined years of real world experience, with the the latest Microsoft Big Data platforms and tools to create a set of modern data platform blueprints, designed to get you up and running quickly, at scale and with confidence.

Our experience shows most projects fit into one of four tiers of services and data sizes.

Compare Blueprints

Our blueprints encapsulate the learnings of thousands of hours solving real-world data problems for our customers across a wide range of industries.

  •  
  • Great for
  • Frequency
  • Per pipeline
  • Total cost
  • Operational
  • Power BI Small Business
  • Tactical reporting
  • Daily
  • £20K
  • £95K
  • £7.50 per person / month
  • Synapse Enterprise
  • Strategic data platform
  • Hourly
  • £20K
  • £250K
  • £100 - £900 / month
  • Synapse High Performance
  • IoT workloads
  • Every 15 minutes
  • £75K
  • £200K
  • £200 - £500 per pipeline / month
  • Power BI Enterprise
  • Enterprise reporting, ISVs
  • Hourly
  • £20K
  • £230K
  • £3.5K - £15K / month
Small Business

Power BI Small Business

ReportingTactical

Our Power BI Small Business blueprint is ideal for your tactical reporting needs. Whether you are building insights for a business unit or publishing targeted reports for your partners and customers.
Azure Enterprise

Synapse Enterprise

AnalyticsStrategic

Our Synapse Enterprise blueprint is a complete strategic data, analytical, and reporting architecture designed to de-risk and accelerate your organisation-wide data programme.
High performance

Synapse High Performance

Complex data processingStrategic

Some data challenges are truly novel and require a specialized approach. Our High-Performance blueprint has been designed for your most complex data processing needs.
Power BI Enterprise

Power BI Enterprise

Enterprise, embedded reportsStrategic

Designed for the most demanding organisational-wide analytical and reporting workloads, our Power BI Enterprise blueprint ensures insights are delivered where and when they are needed.

Case studies

We help our customers to develop their technology strategy, built on deep insight from their data, engineered securely and efficiently in the cloud.

OceanMind
Creating a data platform capable of monitoring the world's oceans in near-realtime, to prevent illegal fishing & human trafficking. OceanMind are a not for profit, who provide actionable insights
Juniper Education
Delivering powerful insight-driven consumer experiences with Power BI Embedded. Juniper Education is a comprehensive education support service. Over 7,000 schools across 20 countries trust them to
M&G Investments
Realizing enterprise-scale data strategy with confidence M&G Investments is one of the UK's largest and longest established investment houses with over £360 billion in assets under management and
TalkTalk
Building a Secure Modern Data Platform for Quality of Service, and Customer Insight. TalkTalk is the UK's leading value for money consumer and B2B telecoms provider. Their mission is to deliver
Apax Partners
Power BI delivers actionable procurement insights. Apax Partners is a global private equity investment group, focused on long-term investment in growth companies. They strive to release potential by
Vubiquity
De-risking your data warehouse migration. Vubiquity connects content owners and video providers to deliver entertainment to viewers on any screen. Working with nearly 650 leading film studios,

Read our Analytics blogs

View all Analytics posts (147)

Endjin are Microsoft Gold Partners for Data Platform and Data Analytics.

Encoding categorical data for Power BI: Using label encoded data vs one-hot encoded data in Power BI

Encoding categorical data for Power BI: Using label encoded data vs one-hot encoded data in Power BI

Jessica Hill

Understand why label encoding is the preferred technique for encoding categorical data for analysis in Power BI over one-hot encoding.
Encoding categorical data for Power BI: Label encoding vs one-hot encoding - which encoding technique to use?

Encoding categorical data for Power BI: Label encoding vs one-hot encoding - which encoding technique to use?

Jessica Hill

One-hot encoding and label encoding are two methods used to encode categorical data. Understand the specific advantages and disadvantages of these techniques.
Power BI Images That Pop: A Guide to Intuitive, Easy-to-Maintain Reports

Power BI Images That Pop: A Guide to Intuitive, Easy-to-Maintain Reports

Paul Waller

Explore integrating icons, pictograms and images into Power BI in the optimal way to enhance the user experience and minimise effort required to build and maintain reports.