Data Warehouse

Gaining New Insights

Gaining New Insights

Every company has multiple data stores with different structures and varying data formats.

To provide reporting and business intelligence, organisations look to a Data Warehouse to provide a centralised repository of consolidated data from one or more disparate sources.

Data Warehouses store current and historical data and are used for reporting and analysis of the data.

Combining your data with external information makes it often possible to gain insights that weren't previously possible.

Defining Your Data Needs

Defining Your Data Needs

Data Warehouses are not new technologies – though Data Lakes are definitely from the 21st Century. Depending on your need, you may require both in your business.

Data lakes harness big data and capture raw, structured and unstructured data to support Machine Learning (ML) and Artificial Intelligence (AI).

There is still a need to create Data Warehouses for analytics use by business users.

A modern Data Warehouse can contain a heady mixture of relational and non-relational data, including files, social media streams, and Internet of Things (IoT) sensor data.

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Key Benefits

  • The data warehouse can store historical data from multiple sources, representing a single source of truth.
  • You can improve data quality by cleaning up data as it is imported into the data warehouse.
  • Reporting tools don't compete with the transactional systems for query processing cycles. A data warehouse allows the transactional system to focus on handling writes, while the data warehouse satisfies the majority of read requests.
  • A data warehouse can consolidate data from different software.
  • Data mining tools can find hidden patterns in the data using automatic methodologies.
  • Data warehouses make it easier to provide secure access to authorized users, while restricting access to others. Business users don't need access to the source data, removing a potential attack vector.
  • Data warehouses make it easier to create business intelligence solutions, such as OLAP cubes.
Building Your Solution

Building Your Solution

Microsoft Azure provides a collection of services you can use to build a Data Warehouse solution.

This includes Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, and Azure Analysis Services.

You can then use tools such as Power BI to analyse and visualise the data, generating reports, charts, and dashboards.

How We Can Help

How We Can Help

We can help your organisation in several ways, including:

  • Fixed price work packages to explore your requirements and deliver a prioritised set of outcomes, a roadmap and a plan for deployment and adoption
  • Power BI / Dashboard In A Day provides a taster for you and your colleagues through guided exercises
  • Consulting specifically to your requirements

Our team of expert architects will begin with a no-commitment meeting to better understand your requirements.

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