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What is Business Intelligence?

Business intelligence enhances how an organisation approaches its decision-making and its adoption to data. Business intelligence allows companies to use their data to answer questions of the company's past and allowing them to make decisions for the future. A data warehouse is used to store the historic data in a structure that will allow for easy reporting and data retrieval.

What data can be used with Business Intelligence

In today’s world data is all around us and businesses are overflowing with different types of data. In most cases the business doesn’t know how to use it to their advantage. Datahub can help with this. Typical examples of data that an organisation could have, that can help with their data driven future:

  • Transactional data
  • Device data
  • Application data
  • Customer preference data
  • Marketing data

To get the competitive advantage organisations will want to utilise all the data available and connect it together in one model to form a picture, tell a story about how the organisation has performed in the past. From this, organisations will understand what was done well, what can be done better.

What will a Business Intelligence solution give you?

  • 360 degree view of your business
  • Make informed business driven decisions
  • Collaborative working
  • Deeper insights into your data
  • Improve data quality and report accuracy
  • Better strategic planning
  • Understand business growth
  • Time based comparisons like previous month, quarter or year

Why is Business Intelligence important?

Today, everybody expects data to be available whether it be in a work environment or in general life. The average person will want to do online banking from any location, they want their personalised music play list available on any device. Or get shopping preferences when they visit a store.

It’s the same for businesses, users will want data available anytime, anywhere, on any device. This is where business intelligence can help an organisation.

There is the more traditional business intelligence design that utilises a data warehouse. In this design the historic data is transformed and moved to the data warehouse using ETL tools. This design will typically include:

  • Data in multiple sources
  • ETL
  • Data Warehouse
  • Reporting Model
  • Reports & Dashboards

Modern data warehousing

Another option is using “serverless pools” where the data will always reside in the data lake (OneLake), and the data is queried from the lake. In this approach the data is never remodelled and loaded into the data warehouse.

Manage your data in a single, AI-powered analytics platform that helps teams turn data into a competitive advantage.

In the lake the data can be in many different formats, and the serverless database engine will provide the same functionality as using a data warehouse. There are pros and cons to each design approach, and Datahub can advise on the best solution for each individual project.

Microsoft Fabric

Microsoft Fabric is an end-to-end SaaS (Software as a Service) cloud-based analytics platform from Microsoft.

  • Unified Data (All your data in one lake ready for the business to use)
  • Centralised Data Engineering
  • Integration (Integrate AI models into your data to get predictions)
  • Governance (ensure compliance with data protection laws and standards are in place)
  • Security

To use the latest technology from Microsoft, have a look at the Microsoft website.

What are the benefits of Microsoft Fabric?

  • Microsoft Fabric is One Product providing One Experience, with One Architecture. Simplifying how businesses manage the service
  • Microsoft Fabric is a Software-as-a-Service. With SaaS Microsoft manages the application reducing IT overheads of the organisation
  • Alls data engineers, data scientists, and data analysts work collaboratively in the same workspace
  • With “OneLake” there isn’t a need to move data into a data warehouse. Removing the need multiple copies of the data
  • The concept of “Low-Code, No-Code” allows for the business to create and develop a solution without the need for complex coding. Empowering less technical business users to utilise “Self Service”. This then allows data practitioners to focus on complex tasks like machine learning and data science projects
  • Reducing the complexity of pricing by introducing universal computing power
  • Embracing Parquet and Delta Lake to store the data. Parquet reduces storage overheads, provides better compression, meaning better performance
  • Actionable insights by simplifying the architecture

Our approach to Business Intelligence

Having a business intelligence solution is a big financial investment for any organisation, so the approach is key to the success of the project. Datahub will always start with a planning phase. Understanding your business, your data, and your requirements. We will look at your key performance indicators, what you report on now, and what you would like to report on in the future.

During this planning phase we document the requirements so that this is clear and transparent to your leadership team. This document will also allow our architectural team to present back a solution.

Discovery

  • Discovery Workshop
  • Document Approach
  • Implement Project Plan

Implementation

  • Validate
  • Cleanse
  • Transform
  • Data Management

Deployment & Rollout

  • Business Adoption
  • Report / Dashboard
  • Training

Support

  • After Sales Support

Find out how we can help

Our consultants are Experts in Business Intelligence solutions and can help you with a plan and roadmap. Contact us for an initial conversation.

Contact us