Business Intelligence
Business intelligence (BI), according to Gartner, is an umbrella term that includes the software applications, infrastructure and tools, as well as the best practices that enable access to and analysis of information to improve, optimize decisions and performance. We can assist with:
- Selection of Performance Metrics and KPIs as opposed to Vanity Metrics
- Management Reporting
- Development of Business Requirements and User Specifications
- Process and report automation (on a case-by-case basis)
- Planning, Implementation and monitoring of Project roll-out
Data Analytics
Data analytics, broadly speaking, is the process of examining all the different sources of corporate data, sifting through and analysing this data, finding trends, adding meaning to and assisting management to draw conclusions based on this data.
Data analytics is not only used for day-to-day management decision making. It also plays a critical role in various other commercial processes: During re-organisations of company/group structure or activities, disposals, acquisitions of new subsidiaries or investments, mergers and acquisitions (M&A), data analytics can make a very valuable contribution to the outcome: specifically in preparation/during due diligence phases or even implementation phases, where e.g. asset registers has to be assessed for e.g. completeness and or asset values, or merge different sources of data. Conversely, during disposals, it becomes necessary to split out databases.
The same broad principle applies when migrating from a legacy system to a newer IT system, where data requirements or structures differ. This requires that data has to be transformed, scrubbed, or even amended prior to implementation, in order to be suitable for use by the new system.
- Data Analytical support for Due Diligences, Mergers and Acquisitions, System implementations
- Data scrubbing to identify obvious (and sometimes not so obvious) anomalies
- Merging of different sources of data or data bases to make a new data set
- Raw data analysis and Value-add in the process of data analysis and interpretation
- Development of reports and queries
- Process and report automation (on a case-by-case basis)
- Assistance with System selection and implementation