eiVia develops and markets Business Intelligence Predictive Analytic applications focused on delivering solutions to answer a business manager’s most difficult questions: Why? What if? And what’s best? eiVia is moving analytics from desktop spreadsheets to online and linking cause-and-effect information with predictive analysis that support day-to-day operational decisions.

Our powerful forecasting and analysis solution:

• Compliments spreadsheets.
• Performs sophisticated analysis not possible in Excel.
• Has built-in consistency/quality checks.
• Preserves relationships between data for future analysis.

Uses of Predictive Analytics:

• Forecasting and modeling financial performance for over 3,000 key customers, with data inputs coming from over 250 users, with results leveraged to assess pricing and promotional spending.
• Forecasting client contracts and developing headcount and related expense budgets in near real-time.
• Providing very simple reporting to clients, where each client has different reporting needs.
• Modeling and optimizing pricing decisions based on complex and highly proprietary data model.
• Forecasting intermittent order intervals and order sizes for commodity purchases.
• Evaluating and better planning marketing events.

The Power of eiVia Predictive Analytics

The CEO of a major consumer products company stated his objective succinctly: “I will no longer tolerate learning that we will miss our plan when it is too late to do anything about it.” His desire was to improve performance visibility and gain greater decision-making transparency. Today, his company uses eiVia’s Predictive Intelligence to forecast sales volume for 3,000 key customers and 550 products. The process is repeated weekly and involves 300 users who are active contributors of key performance metrics.

eiVia replaced a cumbersome desktop spreadsheet and email application with an application that provides continuous visibility, including the latest estimate of sales and the predicted financial implications. Over time, the application has evolved and adapted to new business challenges.

Today, the organization not only has improved revenue visibility, but also visibility into marketing spending, costs and margin performance. Some users have access to more than 90 volume and financial variables for their analysis and modeling. This level of detail means that performance visibility is extended to operational levels to support tactical decision-making.