Core Systems
and Data

Refine and simplify core business systems by cleaning out under-used legacy software, ensuring your data integrity and creating an environment which enables two-way communication with your digital touch-points.

Business Analysis

Getting to grips with your data and core business solutions can be an almighty task when considering the independent pieces of software all acting together to successfully run your day-to-day operations.

Through a technical business analysis, you will gain a clear understanding of how to simplify your environment and plan a clear way forward with the intention of:

simplifying business systems
appealing to the needs of those using the data
consolidating this data to provide a richer base from which to draw insights
being able to securely expose this data to digital interfaces (e.g. mobile applications, web interfaces, in-store displays) to drive a more connected experience.
Building operational touch points which allow you to bring efficiency in to the business while also improving customer experience.

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Core System Upgrades

Once a clear understanding of your IT environment has been established, work can begin to make improvements.

This may involve removing incumbent systems, considering new options or simply cleaning up the flow and storage of data between the systems already in place.

The work done here will aim to provide a secure, robust environment in which your data can be intelligently managed so as to allow you to expose this data to external interfaces (e.g. on-line stores, customer dashboards, supplier portals, etc.) where appropriate.

With the ever increasing demand from customers for convenience and accessability through platforms, the need for system upgrades and data accessibility has become a core component of every business’s digital strategy.

For an expanded discussion on the role of IT and data accessability see “Digital Strategy 2.0: Planning Frictionless Experiences For A Connected Customer”.

Data Analysis &
Business Intelligence

Distilling and drawing insights from data generated within the business can act to powerfully inform strategic business decision making, as well as rapidly expose new opportunities in real-time.

As businesses turn more toward digital interfaces for customer and partner interactions, so the volume of data generated increases exponentially.

Through advances in artificial intelligence (AI), machine learning (ML) and personalisation, this data is able to deliver high quality insights internally, while also providing a platform on which to build more advanced customer experiences (e.g. robo-advisors, real-time cross-sell opportunities).

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Get In Touch A

Contact

  Digital Advisory Africa
  @advisory_africa
  +27 83 631 8944
  [email protected]