Sales Analytics

Sales Analytics is a metrics-driven contact sport. Sales leaders are looking for the ability to easily view past sales results and slice and dice information to make informed decisions. Our sales analytics solution offers an integrated performance management model that allows companies to effectively plan sales and operations across manufacturing plants. Both top-down and bottom-up planning are enabled, ensuring that plans align with corporate goals and enables information-sharing and more efficient analysis among the various groups.

Pricing and Margin Analytics

We empower you to answer the tough questions in business, using analytics to uncover patterns and improve performance.

Sales and Operations Planning

Sales and Operations Planning (S&OP) has captured a great deal of attention as a result of the globalization and the dual requirements of meeting customer demand and providing optimal operational efficiencies. Traditionally, the marketing, sales, and manufacturing groups within an organization have operated in silos, with different goals which threaten overall enterprise objectives. But increasingly, companies are recognizing the need for a robust S&OP model that allows the various groups to jointly address operational issues affecting overall corporate goals.

  • The requirement for an integrated model which gives all groups within the company both visibility and the ability to respond to one another.
  • The requirement for quick response and delivery to customers and distributors in order to remain competitive.
  • The requirement to quickly incorporate and plan for new products, so that ever-increasing demand for the “latest and greatest” can be met.
  • The ability to plan and distribute manufacturing operations in the most cost- and time-efficient manner.
  • The ability to plan for third-party—such as off-shore or contractor—sourcing.

Supply Chain

Today, organizations are investing in supply chain related technology solutions more than ever before. Traditionally, supply chain information was not easily accessible throughout companies and disconnected enterprise systems introduced a variety of data integrity challenges.

Manufacturers around the world have invested millions in enterprise and supply chain management systems (e.g. SAP, i2, Manugistics and others) and various supporting software applications to help them improve the performance of their supply chains. Yet for the volumes of data that they generate, these systems have not delivered what supply chain managers truly need—complete visibility so they can answer the burning questions, and take corrective action across every aspect of the supply chain.

Many critical questions drive business decisions for today’s supply chain executives in the electronics industry.

  • Which suppliers are the most reliable? Which have balances outstanding?
  • How many days of inventory exist in each warehouse? Are we meeting demand?
  • How close are material forecasts to actual results?
  • What lead times are required to fulfill an order?
  • Which plants have completed the highest number of work orders on time?
  • Which plants are performing best against costs? Has this changed over time?

As manufacturers continue to feel the pressure of increased competition and customer demands, supply chain executives finally have the tool they need to support operational excellence. eCapital’s Supply Chain Solutions enables supply chain executives to provide a strategic approach to improving supply chain performance by providing visibility into critical processes, customer needs, inventory requirements, areas for cost reduction and the reasons behind the results.

Profitability Analysis

Profitability analysis is a cross-enterprise discipline that seeks to unlock profit potential wherever it may be found. Once primarily a management and accounting-driven reporting exercise, it is now being used to help all parts of a company gain the insight necessary to deploy their limited resources in pursuit of the most profitable opportunities. Departments and divisions such as sales, marketing, operations and engineering can use profitability analysis to answer simple, profit-focused questions like:

  • Who are my most profitable customers?
  • What are my most profitable products or service lines?
  • Which are my most profitable sales channels?

Technology can enable quick processing times, scalability, frequent data population, excel integration and simple modeling interface. These are critical for a successful profitability model that identifies the highest value customers, products or regions.

The main features and business value are as follows:

  • Visualization of profitability by product
  • Product profitability and inventory analysis
  • Direct Product Profitability (DPP) analysis
  • Product-channel profitability analysis–heavy allocations
  • Costing engines integration
  • Tie back into enterprise planning processes
  • Contextual role-based analytical insight

Profitability analysis is important to all companies but in times of economic uncertainty, it becomes critical because organizations need a comprehensive and forward-looking view of profitability to ensure that they remain financially viable. For companies to be successful, they need automated systems that manage data effectively, analyze profitability.

Predictive Modeling

Predictive Analytics is a transformational technology that enables more proactive decision making, driving new forms of competitive advantage. It analyzes patterns found in historical and current transaction data as well as attitudinal survey data to predict potential future outcomes. Predictive Analytics provides unique insights that can help answer crucial business questions, such as:

  • How do I reduce churn and retain the most loyal customers to maximize profitability?
  • How can I detect and prevent fraudulent activity to reduce risk?
  • Which factors are most likely to drive customers to choose my product vs. the competitor’s?”