Big Data analytics is at a crossroads; Gartner reported that, through 2017, 60% of Big Data projects will fail to go beyond piloting and experimentation, and will be abandoned. I had the opportunity to talk to Andrew Brust, Sr. Director of Marketing Strategy and Intelligence, about how his colleagues at Datameer are trying to improve how companies extract value from their vast amounts of data. Datameer is a self-service big data analytic platform that makes analyzing data simple. Their platform helps their customers perform rapid data discovery and quickly find business insights in those data.
Having already helped hundreds of customers be successful on their Big Data projects, Datameer is leveraging this vast experience to improve the ROI that businesses can realize from their Big Data investments. They have developed a three-pronged approach in this endeavor: 1) Use Case Exploration, 2) Use Case Discovery and 3) Use Case Operationalization.
1. Use Case Exploration
Datameer has built a new Use Case Browser, allowing their customers to explore hundreds of real-world big data use cases to understand the business and technical components needed in data-intensive projects. By exploring different use cases, customers and prospects are able to see how analytics can impact their bottom line.
2. Use Case Discovery
Datameer is also offering a half-day onsite workshop (Use Case Discovery Workshop) to help stakeholders better identify where they could get the best ROI on their Big Data investments. The workshop will require participation from stakeholders from IT, Analytics and different lines of business to ensure all personas have a say in the the use cases they are evaluating. Participants will use the workshop to lift barriers to implementation, establish requirements, and rank use cases based on their merits.
3. Use Case Operationalization
Based on their experience helping customers get value from their data, Datameer has acquired a set of best practices that they are offering through an online education platform, Datameer University. They are offering these courses for free. The courses are delivered around project-specific use cases. These courses are vendor neutral, and address topics and issues in general terms, not necessarily specific to the Datameer platform. They believe that, while education is valuable to their prospects and customers, educating as many people as possible is good for the entire industry.
Our team at Appuri has heard good things about Datameer as a data exploration platform. We see Datameer as a way to help businesses understand which data sources are valuable (hold key variables for specific use cases) and which ones are not. By identifying valuable data sources, companies are better able to leverage the right data for the right solutions to help solve specific business problems.
For example, we help companies decrease customer churn by integrating their data silos and then applying machine learning capabilities to uncover the drivers of churn. Knowing which data silos are valuable upfront (through Datameer) would greatly facilitate the ETL process, decreasing the time it takes to find business insights.
Datameer’s new tools and free courses will definitely keep their customers coming back and will also generate goodwill throughout the industry. For this reason, I can get behind Datameer’s efforts, because they not only help their customers, they also help people in general learn how businesses can leverage their data to extract the insights they need to move forward. Raising the water for everybody lifts all boats, including theirs.