We’ve always aimed to be a good citizen in the workflow of a business analyst. We purposely built an open architecture so that we can easily augment our product to address customer feedback, or adapt to market changes.
Tableau is the new behemoth in the business intelligence world. We have a number of customers who count us both in their arsenal –Datameer for big data analytics, Tableau for interactive visualization analytics. Instead of just sitting side by side, today, we’re announcing a one-click bridge between our solutions.
Most people understand that in today’s data deluge, strong visualization analytics are incredibly important. There’s a clear need to distill large amounts of complex data into something tangible and quickly consumable, and we can be more productive consuming insights visually. But what’s often overlooked is the immense amount of groundwork required to produce that insight, and the functional and architectural considerations for getting that work done.
Businesses need the ability to integrate all of their data, regardless of source or size, profile and cleanse it to remove any data that is incorrect, incomplete, improperly formatted, or duplicated. Then they need to quickly analyze large volumes, iteratively, to uncover hidden patterns, unknown correlations, short-term trends, customer behavior and other useful business information found in row-level, multi-structured data. These tasks require the capabilities of a big data platform like Hadoop, and a Hadoop-native analytics platform like Datameer.
At the same time, customers also have large numbers of pre-assembled reports and dashboards, publishing and distribution processes and skills associated with existing BI tools that they’d rather not (and should not) need to recreate. Increasingly, we find that both ad hoc and automated analytics pipelines involve crossover between these environments, often coordinated by the same user.
Joint customers of Datameer and Tableau can now leverage Hadoop to integrate, prepare and analyze all of their structured and unstructured data in Datameer and, when needed, automatically export it to either Tableau Desktop or Tableau Server to augment their traditional reporting and visual discovery capabilities on highly aggregated, structured data.
This one-click bridge opens the door for Tableau customers who need to look beyond structured data to do so in Datameer, and then seamlessly move back to Tableau for visual analytics.