Information Systems Strategy and DDDM

We help define your Information Systems Strategy, ensuring this aligns with and supports your business operating model. Using proven approaches and modern toolsets, we ensure Data Driven Decision Making (DDDM) becomes a reality for your business, enabling decisions to be made based on facts rather than opinions.

Information Systems Strategy

All successful enterprises need an Information Systems Strategy that helps drive innovation and growth. This informs which Information Services and Technology (IST) Initiatives to implement to enhance your Business Operating Model.

Enterprises need to continuously invest in IST to keep pace and benefit from the constant advancement in technology. Investment in IST falls into these three classifications:

Business Operations (maintaining existing systems)
Incremental Business Change
Business Innovation

Maintaining existing systems is required but delivers minimal enhancements. Greater benefits are achieved with appropriate investment in Incremental Business Change and Business Innovation initiatives.

Leveraging cloud computing can decrease ongoing costs of existing systems, allowing more investment into Business Change and Innovation initiatives.

We will assist in developing your Information Systems Strategy and then put this into action. With tried and proven approaches and using the latest toolsets, we will help your business flourish.

    Business Analytics

    Data Driven Decision Making

    There is a desire across all industries to make business decisions based on facts rather than opinions. This is commonly referred to as Data Driven Decision Making (DDDM) and relies on two essential criteria of accuracy and timeliness of data.

    A two-pronged approach is employed, looking from the ‘top down’ and ‘bottom up’:

    • Top Down - Working with managers to understand what data/information/KPIs they desire
    • Bottom Up - Looking at the transactional source systems to determine what data is currently available

    From this, the framework and architecture is designed, including defining the overarching technology across these three areas:

    Data Visualisation - the tools that Data Consumers use to analyse the data to provide insights
    Data Warehousing - the specific Data Warehouses (and/or Data Lakes) that will contain the cleansed data from source transactional systems
    Data Processing - orchestrates the Extract, Transform, and Loading (ETL) of data from source transactional systems to the Data Warehouses and Data Lakes

    We will design the framework and architecture that best suits your business and current suite of source transactional systems and then implement this, providing full training and support.

    Ongoing enhancement of a DDDM / Enterprise Reporting Solution is best managed with an agile methodology, delivering small and frequent improvements for continuous enhancement.


      Data Visualisation

      There are various Data Visualisation tools, including Tableau (by Salesforce), Highcharts (JavaScript Library), Looker Studio (by Google), Microsoft Excel and Power BI, which provide business insights by generating informative tables and charts. Most businesses are familiar with Microsoft Excel, meaning implementing Power BI is often a natural progression, with Power BI being a leading Data Visualisation tool. In any Enterprise Reporting Solution, it is the Data Visualisation tools that will have the most users, so it is important to choose tools that will be user-friendly for the Data Consumers.

      Multiple Data Visualisation tools can be used, with an important point being that these tools DO NOT store the data, but instead use common Data Warehouses or Data Lakes to ensure reporting consistency without repetition.

      We will help you choose the appropriate Data Visualisation tools for your business and assist you with the implementation of these including full training and support to the users or Data Consumers.

      We will empower members of your own team to become Business Intelligence Report Writers, giving them the training and support to enhance and extend data visualisations for the wider Data Consumers.

      Excel to Power BI

      Data Warehousing

      Most businesses have multiple separate systems used for various business functions such as Sales, Purchasing, Payroll and Health and Safety. These separate source transactional systems do not contain the data in a format that allows consolidated reporting across the multiple systems. Data Warehousing enables storage of data from multiple sources in a structure that facilitates consolidated and inter-related reporting.

      Depending on the types of source systems and data types, different Data Warehouses (and/or Data Lakes) will be appropriate. Additionally, the chosen Data Visualisation tools will influence the design of the Data Warehousing.

      We will design the architecture that best suits your business and ensure this facilitates seamless integration with the chosen Data Visualisation tools. We will then design and implement the specific structures of the Data Warehouses (and/or Data Lakes) and provide full support and documentation.

      Data Warehouse Design

      Data Processing

      The Data Processing component is the orchestration engine, taking data from the source transactional systems and populating the Data Warehouses. This is not just a copy of the data but includes the important Transform step of the Extract, Transform, and Load (ETL) process. This ensures that the residing data in the Data Warehouses is structured to facilitate the Business Intelligence Report Writing in the Data Visualisation tools.

      Depending on the types of source systems and data types, different ETL tools will be appropriate. Additionally, the architecture of the Data Warehouses (and/or Data Lakes) will influence which ETL tools are most appropriate.

      We will design the architecture that best suits your business and ensure this facilitates seamless integration between the source systems and Data Warehousing solution. We will then design and implement the specific ETL processes and provide full support and documentation.

      Azure Data Factory Pipeline

      Industries We Support