May 2017 has already filled the inbox and there is still two weeks left! To keep up with all the press releases flowing in, you can check my Alerts page and also scan through It has been one wild week in the wonderful world of analytics. We heard announcements from TIBCO, Qlik Qonnections, SAP SAPPHIRE NOW, IBM VisionInformatica World, Zoomdata, Tamr, and others.

TIBCO Acquires Statistica

On May 15, 2017, TIBCO announced plans to acquire data science platform Statistica. The notice mentioned this acquisition will augment TIBCO’s analytics product offerings, adding new capabilities aimed at making it easier for data scientists to unlock the power of machine learning and leverage it in a variety of applications, such as those analyzing the often large amounts of data produced in IoT systems. The transaction remains subject to customary conditions and is expected to close in the coming weeks.

Previously I reported when TIBCO bought Jaspersoft  and Extended Results. It will be fascinating to see what they do with Statistica. I’ve already reached out to my product team contacts there to get the full scoop for you. Stay tuned on this one.


Enterprises around the world gathered in Orlando again this week chatting about “indirect data access” ruling concerns while also hearing what SAP was delivering on for innovation. From what I am seeing, machine learning and IoT stood out this year in a commonly heard theme around digital transformation.

The firm discussed moving to a digital business model that no single technology can deliver. They are betting on expansions to SAP Leonardo along with industry domain expertise to differentiate software capabilities in machine learning, the Internet of Things (IoT), Big Data, analytics and blockchain on SAP Cloud Platform together. New developments across the SAP Leonardo innovation portfolio include the SAP Leonardo Machine Learning Foundation; a set of new machine learning–enabled applications for corporate functions ranging from invoicing to customer service and retention; and an SAP Cloud Platform Blockchain service for building application extensions and new solutions using distributed ledger technology.

SAP also launched its new digital twin solution and new services as part of its push to optimize asset management with the IoT. To build the ecosystem for SAP Leonardo, Offerings will include digital and intelligent solutions for finance, supply chain and software-as-a-service for industry.

A stronger partnership with Google Cloud was also outlined. For more information, check out the announcements.

Informatica World

Much like SAP, Informatica World also led with a theme of digital transformation. Fascinating announcements about machine learning for master data management, automated governance and compliance, a super cool project called CLAIRE for making intelligent data recommendations to data pros on which data sets to use for their projects and much more.


CLAIRE—with clairvoyance in mind and AI in the center—is the industry’s first and most advanced metadata-driven Artificial Intelligence technology that is embedded in the Informatica Intelligent Data Platform. CLAIRE delivers intelligence to the entire portfolio of Informatica data management products and solutions, by applying machine learning to technical, business, operational and usage metadata across the entire enterprise and the cloud. This transformational scale and scope of metadata allows CLAIRE to help data developers by partially or fully automating many tasks, while business users find it easier to locate and prepare the data they are looking for from anywhere in the enterprise. This is one solution we should dive into in the future!

Qlik Qonnections

Also in Orlando this week, Qlik held Qonnections 2017. Reviewing the buzz from that event, I noted what I expect is a warmly welcome Qlik View to Qlik Sense converter.

Qlik Converter

Growth in Qlik’s cloud offerings seems to be slow. They are now touting more than 100,000 users visualizing data with Qlik Sense Cloud and Qlik Sense Cloud Business. That number is far below other known cloud BI vendor adoption rates…though Qlik was late to cloud. On the upside, Qlik is pitching a nice message of cloud choice.


During Qonnections 2017, Qlik executives laid out the roadmap to connect on-premise deployments of Qlik Sense Enterprise, with cloud-based services, creating an environment for supporting customers’ evolving needs and choice. To achieve this, Qlik is making investments in its core infrastructure to support the customers’ ability to choose where the data resides, where the analysis happens, and where and with what device users want to access it.

Qlik also previewed new client options for use with Qlik Sense Enterprise and Qlik Sense Cloud. Qlik Sense Mobile is a new, native app for Apple iOS, which supports the full associative model when offline, with the QIX engine running locally on the device, and integrates with EMM products such as AirWatch, MobileIron, and Blackberry. In addition, Qlik Sense Desktop is now offered as a supported client when used in Qlik Sense Enterprise environments.

Qlik Sense now includes several new visualization types, including a Box Plot, Distribution Chart, and Histogram that will empower users to make better sense of their data. Users will also be able to apply custom coloring to particular data values within master dimensions, providing consistency across an entire application. In addition, search history now makes it easier than ever to go back to previous analyses.

Qlik Sense also brings improved smart data preparation capabilities that sure sound like Trifacta-ish capabilities or similar to what Tableau may be cooking up. This will be an area that I will be testing soon. Ironically, I recently struggled with April 2017 version of Qlik Sense Desktop on a tiny 5 table project. According to the announcement, Qlik data preparation will include:

  • Visual data profiling data including auto-generated visual representations of the data through histograms and other visualizations
  • Data binning to easily create data ‘bins’ or groups of numeric data
  • Table concatenation allows users to easily concatenate tables even if they do not have the same fields and field names. Now customers and partners can bring tables from two companies together even if they do not store data the same way.

Through open APIs, Qlik showcased natural language generation and processing, advanced predictive analytics with R and Python, and an immersive experience including augmented intelligence that I would have loved to have seen since I wrote about that topic last year.

Qlik also showcased more data source connectors and Qlik GeoAnalytics for better geospatial mapping. This new capability has automatic geo-data lookup and can render millions of data points with overlays on top of different visualizations. This is another area that I’d like to test. Most data visualization solutions are not capable of rendering millions of data points as I have mentioned before in numerous Solution Reviews and past articles.

For additional tid bits from Qonnections, check out the press release.


Zoomdata, one of my longtime favorite big data visual analytics players that I found in 2014, revealed at SAPPHIRE NOW new connectivity with the SAP Analytics portfolio. Zoomdata’s patented technology will empower users of SAP Lumira and SAP Cloud Platform to:

  • Connect to a broad range of big and modern data sources including Hadoop distribution such as Cloudera, Hortonworks and MapR; Impala, Drill and SparkSQL query engines; search-based stores such as Elasticsearch and Solr; cloud-based stores such as Google BigQuery and Amazon Redshift; NoSQL and NewSQL stores such as MongoDB, Cassandra and MemSQL; as well as SAP’s own Big Data solutions such as the SAP HANA® platform and SAP Vora™ and SAP Cloud Platform Big Data Services™.

  • Leverage Zoomdata sharpening and micro-query technology. This means users can begin to explore Big Data sets immediately without waiting for long queries to complete, with visualizations “sharpening” progressively as the micro queries return.

  • Access Zoomdata’s streaming and Data DVR capability to view live and streaming data and also rewind, pause and fast-forward the data stream, helping users identify patterns as they change over time.

  • Blend data with Zoomdata Fusion, whereby customers and developers can combine data from multiple sources—making it appear as a single source.

If you have not seen Zoomdata’s streaming and Data DVR capability, it is worth checking out their online demos. I show this on in my real-time analytics sessions. It is slick. For more information about the partnership and solution is available at

Other Relevant News

A few other announcements that I noted in filtering out the noise for you are as follows. I’ll add more as the month of May continues…