The partnership centers around the Mo'Mix Performance Center, which the company bills as "a complete business intelligence and operational reporting solution designed specifically to address the needs of public sector organizations." Based in the cloud, the product operates on a Saas model and assists in a variety of data-analysis tasks, such as payroll reports and external auditing.
The role of Pentaho, which specializes in business analytics and intelligence tools, was to deliver the core technology that Mo'Mix needed to create a cloud-based reporting platform for public organizations without having to reinvent the wheel. As Mo'Mix president Erin Latham said in a statement, "Pentaho’s technology allows us to cost-effectively deliver an affordable business intelligence solution with pre-built government and higher education analyzers and reporting capabilities that facilitates an immediate return on investment."
Data Analytics Meet the CloudWhile the partnership between Pentaho and Mo'Mix may have little direct bearing beyond the government and higher education channels, it does highlight the way in which cloud and Big Data vendors are combining forces to meet common challenges. In this case, delivering data analytics solutions via a SaaS platform expands Pentaho's products into the cloud, an area in which it has until now had little specific focus.
At the same time, the Mo'Mix Performance Center will bring powerful analytics technology to customers interested in investing in cloud-based data-management platforms. In the past, although the cloud has often been home to large amounts of data, it hasn't always enjoyed integration with key complementary reporting and analysis tools such as Pentaho's.
In other words, the deal showcases the need for combining the power of the cloud with Big Data in ways that not only make Big Data more accessible, but also take advantage of the sorts of powerful data analysis tools that traditionally have not been part of the cloud. Building cloud platforms that cater to the basic needs of Big Data customers is smart, but enhancing them with next-generation technologies for interpreting and evaluating large amounts of information is better still.