SmartERP’s Big Data Proof of Value is an effective and engaging service that demonstrates the feasibility and business benefits through a targeted Big Data analytics use case, specific to our business.
Build a solution for your analytics use case in an on-premise / cloud test environment
Create a “minimum viable solution” application or process that turns insight into a Real business value
Determine potential process, governance and organizational impact; and suggest optimization
Use relevant data sources
Build and validate analytical models using market leading data analysis and visualization tools / technologies
Demonstrate the potential for analytic lift
Provide high level ROI and analytics
First, SmartERP conducts and documents a current state review to understand how to augment your IT environment to execute the analytics use case. SmartERP will install and configure the required hardware and software in a customer test environment, preparing the system for analysis.
Analyze, Model and Visualize
Next, we perform data ingestion, analysis, and data visualization around the target analytics use case to uncover the actionable insights that will be part of the final solution.
Interpret and Analyze
In this stage, SmartERP evaluates the analytic lift of the data opportunities to validate the analytical models. This includes a statistical analysis in an iterative and collaborative fashion to ensure maximum value in your analytical opportunities. We will then build a “minimum viable solution” application or process to demonstrate how to create actionable business value.
Deliver ROI and Solution Plan
Finally, we present the interpreted findings and analytical models with recommendations for potential architectures, processes, governance and organizational impacts; suggesting optimization. We deliver a high-level ROI analysis geared toward driving maximum business value as well as a solution implementation roadmap.
Summary of Benefits
The Big Data Proof of Value is an effective and engaging service that demonstrates the feasibility and business benefits of a targeted Big Data analytics use case:
Proactive approach – Pre-determine the ROI of a Big Data initiative
Prototyping – Demonstrate the solution architecture in your test environment with relevant data sources
Value estimation – Confirm how analytic insight will result in actionable business value within your operational environment