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Data Mining Software

Find the best Data Mining Software for your business. Compare top ERP, CRM, POS Software systems with customer reviews, pricing and get a free demo.

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SOFTRAX Revenue Manager

SOFTRAX Revenue Manager
SOFTRAX Revenue Manager
SOFTRAX Revenue Manager helps enterprise-level companies comply with complex revenue recognition regulations and processes, with ASC 606 and IFRS 15 automation. The solution serves a variety of industries including technology, media, manufacturing, finance, energy, construction, transportation, and healthcare to increase visibility, improve efficiency, and manage risk. SOFTRAX Revenue Manager enables comprehensive revenue recognition reporting with customizable dashboards and graphical reports. Revenue which is on-hold, recognized, or scheduled for release can be reported in aggregate, month by month, or broken down by various data elements such as product, business unit, and customer to help organizations better understand revenue performance. SOFTRAX allows users to analyze ongoing and proposed businesses, helping to make critical decisions on customer contracts, pricing, discounts, bundling, or product introductions. Features for compliance and audit support help systematize compliance with continuously up-to-date and documented revenue controls. SOFTRAX provides proactive enforcement for ASC 605, ASC 605-25, ASC 605-35, ASC 985-605, ASC 605-10-S99L, as well as the new ASC 606 / ASU 2014-09 standards. Users are able to review the full revenue process— from initial quote, contract, or order, to the final revenue reporting, as well as conduct detailed analysis on several levels, such as product line, business unit, contract type, market segment, account, and more. The SOFTRAX Revenue Manager platform is ERP agnostic meaning it can seamlessly integrate with the existing enterprise systems such as SAP, Oracle, Microsoft Dynamics, Netsuite, Salesforce, Intacct, and Zuora.

What is Data Mining Software?

Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs. Data mining depends on effective data collection, warehousing, and computer processing.


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