November 2015

Items filtered by date: November 2015

Speak to pretty much any application vendor whose been around for some time and they’ll likely tell you their resources are focused heavily on modernization. Understandable, given how rapidly our industry has been changing over the last few years, and the constant barrage of social chatter around cloud, mobility and SaaS.

Yet look at any recent survey of CIO investment priorities and you’ll find modernization of enterprise applications is near the bottom. We think this is because disruptive change within industry is not being driven by change to core business applications (which is often very expensive and presents huge risk), but from new technologies and services integrated with these applications and other data sources.

Analytics on the other hand is pretty much consistently the top priority, and for good reason. Innovations within business analytics, such as mobile, alerts and collaboration and the emergence of new technologies such as Hadoop, MapReduce and Spark that are driving down the cost of big data analytics are opening up huge opportunities for disruptive change. As these technologies mature, and are applied to more aspects of industry the pace of this disruption is set to rise dramatically.

So we think if you’re a successful application vendor focused purely on modernization, and you’re not already addressing analytics, you’re missing a huge opportunity to drive revenue from your software. Here at DataPAwe’re dedicated to building partnerships with application vendors. We use our expertise in analytics to build industry leading technology that can be integrated seamlessly with our partners’ applications. We’d love you to join us

Workflow is a key component for any legal practice – increasing efficiencies, improving customer service and coping with evolving regulatory requirements – which is why legal case management has always been a key focus area for software developers.

The market leader in legal case management is Lexis® Visualfiles from LexisNexis. The Visualfiles “toolkit” allows organisations to expand the standard solution, adding their own entities and workflows to match any business requirement, automating even the most complex processes. Today, Visualfiles is the most widely used case and matter management system in the UK with more than 25,000 registered users in firms ranging from 5 to well over 1,000 employees.

This “ultimate flexibility” was proving to be a particular challenge for LexisNexis to provide an embedded analytics solution to their customers. For most business applications, the process of transforming raw data in the database into meaningful information for an analytics solution is the same for every customer. Everyone uses the same system so it can be easily understood, designed and implemented once for all customers. However, with Lexis Visualfiles this is not the case. The unique power of Visualfiles allows each customer to evolve their system, and by definition the underlying data set, to match their specific business needs. Whilst this provides fantastic flexibility to ensure the system evolves as the business develops, it creates a huge challenge for analytics.

However, at DataPA we understand that application developers have already designed and implemented this transformation process, otherwise the business application would be of little use. We believe developers should be able to reuse their valuable business logic assets for analytics, not be forced to reengineer them for another platform. So with DataPA OpenAnalytics, the LexisNexis development engineers were able to reuse the existing OpenEdge ABL code to deliver beautiful, accurate, live analytics embedded seamlessly into their application.

The result is the best of both worlds – a powerful business solution married to sparkling analytics – so everyone wins.

If you have equally valuable business logic developed in OpenEdge, why not talk to us today to find out how you can leverage this valuable asset to deliver beautiful, live intelligence to mobile and web.