CASE STUDY | IT SERVICES| SAC
Decision Inc. automates a global IT services powerhouse’s financial scorecard process with SAP Analytics Cloud.
Solution Overview
Industry
Solution
Client
Requirement
Location
Results
Increased Effeciency
Improved Decision Making
Greater Collaboration
Increase Revenue
Improved Customer Satisfaction
The client now has full visibility of its strategic goals. Non-technical users can quickly perform analyses and drill down into the underlying data.
The Client
In terms of revenue, it’s the fourth-largest telecom company in the world. In South Africa, the client is registered as a Management Services SA company.
The Requirement
The client has developed a technology roadmap that aimed to expand its use of SAP’s Cloud platform technology stack and this project was part of that roadmap.
The Solution
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- Produce interactive visualisations and stories.
- Explore data using filtering and drill through.
- Use machine learning algorithms to reveal relationships, hidden patterns and outliers automatically.
- Predict potential outcomes at the push of a button.
- Ensure strategic alignment through collaboration.
To identify the requirement in detail, Decision Inc.’s solution architect held workshops with their business users. The key performance indicators (KPIs) that were required on each scorecard were documented in a wireframe. Further workshops were held to identify the required business logic to underpin the scorecards. The production of the blueprint document ensured that Decision Inc. understood exactly what needed to be delivered and that the client was clear on the solution they would receive.
Following the plan outlined in the blueprints, the scorecards and dashboards were configured within the client’s SAC. Data was pulled in from their Salesforce system and its SAP Business Planning and Consolidation software. Operational scorecards were created as well as Management scorecards. A predictive forecast was enabled that uses 24 months of data history in the system to enable a 3-month forecast prediction. This forecast will grow to 9 months once more data is available.
The Benefits of Value Realised
By providing non-technical users with the ability to access machine-generated analytics and insights, the client can save time and resources that would have been spent manually analysing and interpreting data. This can lead to increased efficiency in decision-making and overall business operations.
The ability to explore and drill down into underlying data, identify hidden patterns and non-obvious relationships, and predict outcomes can provide the client with a significant competitive advantage. With the help of the solution, they can make more informed and data-driven decisions, improving the chances of success.
The ability for users to collaborate around data can help ensure strategic alignment throughout their business. This can lead to a more cohesive and coordinated approach to business operations and decision-making.
The solution’s predictive analytics capabilities can help them identify revenue growth and cost savings. By optimising its operations and making data-driven decisions, the client can increase their revenue and profitability.
By leveraging the solution’s insights and analytics, they can better understand their customers and their needs. This can lead to the development of more targeted and effective solutions, ultimately improving customer satisfaction and loyalty.
About Decision Inc.
Our success is ultimately driven by our entrepreneurial culture, industry exposure, and the passion of our people. We have three key cross-functional teams – Functional and Specialist Consulting, Development, and Engineering teams. Based in four global offices, our exceptional consultants focus on delivering value to clients by keeping them at the centre of our service delivery.