Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created uncertainty. For example, only one in 11 participants in our benchmark research on big data analytics said that their organization fully agrees on the meaning of the term “big data analytics.”
Topics: Analytics, Big Data, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer Performance, Data Quality, Gartner, Information Applications, Information Management, Predictive Analytics, Value Index, Strata+Hadoop
Managing prices has always been an activity of keen interest to businesses, but it has become even more critical to do it well. Over the past decade many companies have found their ability to raise prices has been constrained by intense competition resulting from Internet commerce, global competition and other factors. One tool for dealing with this pressure is price and revenue optimization (PRO), an analytic methodology that calculates how demand varies at different price levels and then uses that algorithm to recommend prices that should optimally balance revenue and profit objectives. Computer-supported PRO began in earnest in the 1980s as the airline and hospitality industries adopted revenue management practices in efforts to maximize returns from less flexible travelers (such as people on business trips) while minimizing the unsold inventory by selling incremental seats on flights or nights in hotel rooms at discounted prices to more discretionary buyers (typically vacationers). Price and revenue optimization algorithms are designed to enable a company to achieve fatter profit margins than are possible with a monolithic pricing strategy. Using PRO, airlines and hotels catering mainly to less price-sensitive business travelers found they could match discounters’ fares and rates to fill available seats and rooms without having to forgo profits from their high-margin customers.
Topics: analytical application, Analytics, Big Data, Business Analytics, Business Performance Management (BPM), Financial Performance Management (FPM), Operational Performance Management (OPM), Performance Management, Price Optimization, Sales Performance Management (SPM), Sales, Office of Finance
Nexidia is a leading vendor of speech analytics vendor. I recently wrote about how it has enhanced its architecture to include text analytics and improve overall system performance. Version 11 of its Neural Phonetic Speech Analytics continues these enhancements to make the product faster and more accurate in its results.
It’s stating the obvious to say that how well executives manage planning processes has a big impact on how well a business unit or company plans. However, one significant source of the value of our benchmark research is that it establishes hard evidence – the numbers – that transforms mere assertions into proof points. This is particularly important when people within an organization want to improve a process. Change management is facilitated by providing senior executives with facts to back up assertions related to solving a business issue. Our recently completed next-generation business planning research provides insight into the importance of managing the planning process well and identifies some components of good management.
Topics: Big Data, Business Analytics, Business Performance, Cloud Computing, Customer Performance, Financial Performance, Marketing, Operational Performance, Predictive Analytics, Sales, Sales Performance, S&OP, Supply Chain, Supply Chain Performance
VPI is a well-established vendor of workforce optimization systems and rated a Hot Vendor in our 2015 Workforce Optimization Value Index. It offers a full suite of products for this market. Notable among them is Performance Reporting, which produces reports and dashboards showing a range of analysis and metrics about telephony, agent performance, coaching and customer success, along with alerts to inform employees of required actions. It combines data from a range of sources, both structured and unstructured, using speech analytics, and works in real or near real time. Performance Reporting is the basis for a new product, Customer Experience BI, which uses many of the same capabilities but focuses more on the customer experience while retaining the contact center capabilities. Our benchmark research into next-generation customer analytics shows this to be an important development as just under two-thirds (63%) of participants said they are considering investing in customer analytics to improve the customer experience.
Enghouse Interactive is one of three divisions of Enghouse Systems, a publicly traded Canadian company founded in 1984. The other two divisions provide network technology to telecommunications providers and applications for public and private transportation companies; Enghouse Interactive owns the company’s three contact center systems. The corporate group has a history of growth – it now has a market capitalization of more than US$1 billion - achieved both organically and through an aggressive acquisition policy. The same applies to Enghouse Interactive. Its three core products are built on three acquisitions – Syntellect in 2002, CosmoCom in 2011 and Zeacom in 2012. Each of these has been enhanced by a combination of in-house development and integration with other acquired products. The three products are maintained and developed independently, something Enghouse Interactive says will continue for the foreseeable future. However it is working to integrate its latest acquisitions with all three products, so each will gain new capabilities.
Topics: Analytics, Big Data, Call Center, Cloud Computing, Contact Center, Contact Center Analytics, CRM, Customer Analytics, Customer Feedback Management, Customer Performance, Customer Service, Speech Analytics, Text Analytics, Customer Experience
As I noted in a recent analyst perspective note the recurring revenue business model is gaining increasing use worldwide. Our recently completed recurring revenue benchmark research shows that companies are using this business approach because they find that it can convey a strategic advantage in creating additional sales opportunities, making future revenues more predictable, enhancing their customers’ experience and increasing customer loyalty. However, recurring revenue businesses have unique challenges, especially in finance and accounting departments because most ERP systems (the ones that handle the accounting function) are not designed to manage the specific requirements of a recurring revenue businesses.
Topics: billing software, Business Performance, Cloud Computing, Customer Performance, Customer Service, Financial Performance, Intacct, NetSuite, Operational Performance, Recurring Revenue, SaaS, Zuora, Office of Finance, Customer Experience