Business Intelligence and Analytics

If your data is weeks or months old by the time you see a report, how can you tell what's happening right now with your supply chain? Do your reports connect the dots between KPIs and the root-cause transactions? Do you trust the quality and consistency of the data on which you make critical decisions? It takes too much effort to manually combine all the different data sets to get a relevant report and the quality of the information is always suspect. The pain and hassle associated with data warehouse projects, from the set-up and resource provisioning, to the total cost of ownership (TCO), quality, and scalability issues, make business intelligence (BI), or analytics, a seemingly impossible objective. The latency involved in the data loads. The data quality issues. All these hassles could be tasked to an Analytics-as-a-Service (AaaS) offering.

Inovis Analytics is the best choice for multi-enterprise business intelligence. That's because it's the only solution that combines an always-aware view of transaction data with your business rules giving you realtime visibility into your performance against the key KPIs and metrics that you use to run your business. Beyond It gives you the ability to blend industry best practices into your business intelligence.

Features include:

• Strategic Risk Management, with a single view of compliance risk, partner risk or governance risk.
• Partner scorecarding, with a portfolio view of key metrics by partner or initiative.
• Traceability, with drill-down from macro data to individual exceptions.
• Hosted service, with simple setup and lower costs (AaaS, Analytics as a Service)
• Industry Benchmarking, with reports across partner transactions and peer organizations.
• Collaborative integration that provides a community with secure, data entitlements aware portal visibility to analytics and workflow driven remediation of key root cause issues that cross organizational boundries

Benefits:

• Lower IT staff costs by automating reports.
• Lower capital costs and IT labor through scalable hosted infrastructure (cloud computing)
• Improved data quality by identifying trends and root-cause data.
• Better decision-making, by accessing always up to date, relevant data.