Enterprise Irregulars

Service businesses must keep finding new ways to add value to existing clients while removing barriers that slow growth. Overcoming the challenges of outdated HR planning and human resource management (HRM), contract management, and CRM systems are table stakes for staying competitive. FinancialForce’s Summer 22 release aims to turn those weaknesses into strengths with one of the most comprehensive releases they’ve had lately.

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Enterprise Irregulars is published by Cloud Avenue LLC. Publisher / Editor:  Zoli Erdos. Using the form below you can contact the Site Admin, Editor and all the individual Authors.

Economic uncertainty sends shock waves throughout businesses, with service organizations seeing its brunt. The recent drastic drop-off in Netflix subscribers is a case in point. Services CFOs say there is an urgent need to track how well their overarching planning strategies linking finance and operations perform. However, getting the data to analyze has been challenging for even the largest services businesses. FinancialForce’s Spring 2022 release takes on these challenges.

Bottom Line: Every business needs to resolve in 2022 to treat cybersecurity as a business decision first because the risk to operations and revenue are too great if they don’t. Any cybersecurity prediction for 2022 will likely be on the low side, given how ingenious ransomware attackers are at mining long-standing common vulnerabilities and exposures (CVEs) and how intricate breach attempts are becoming. Predictions don’t protect businesses, professional guidance does.

By Louis Columbus on January 11, 2022 Bottom Line: Professional services (PS) organizations need to close the gaps in their CPQ selling strategies to win more deals, capture more revenue and protect margins from ongoing price pressure. Why Services CPQ Is Too Slow Today When PS organizations compete in sales cycles, the first competitor to have a complete quote with accurate pricing, schedules, and an engagement plan will often win.

By Louis Columbus on October 18, 2021 59% of all large enterprises are deploying data science (DS) and machine learning (ML) today. Nearly 50% of all organizations have up to 25 or more ML models in use today. 29% of enterprises are refreshing their data science and machine learning models every day. The higher the data literacy an enterprise can achieve before launching Data Science & Machine Learning initiatives, the higher the probability of success.