Qlik (Attunity) Recognized Again in Gartner Magic Quadrant for Data Integration

Every time a new Gartner Magic Quadrant is published, I always have a flashback to the scene in the old Steve Martin movie “The Jerk” – when his character gets overly enthusiastic about seeing his name published in the new phonebook. As a software vendor, I think we sometimes look like this when the Gartner MQ is released, and everyone gets a little too excited.

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World Water Week

To bring a focal point to what’s arguably the most vital
resource to mankind – every year, the Stockholm
International Water Institute
brings together governments, businesses and
research bodies to address current and future water and sustainability issues. World Water Week is a recognition that
the future of our prosperity and growth comes from working together and taking a
stance to address water crises around the globe.

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The Chess Game of Data & Analytics

In my last blog post, I spoke about a series of articles I will be doing with regards to the world of data and analytics, specifically looking at the 4-levels of analytics, and data and analytical strategy. In this post, we are going to dip our toes into the world of data and analytical strategy, specifically looking at its importance and tie to the world of data literacy.

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The Chess Game of Data & Analytics

In my last blog post, I spoke about a series of articles I will be doing with regards to the world of data and analytics, specifically looking at the 4-levels of analytics, and data and analytical strategy. In this post, we are going to dip our toes into the world of data and analytical strategy, specifically looking at its importance and tie to the world of data literacy.

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“The data wars have begun” – Qlik on ‘The Great Hack’ film and how we can win

Netflix’s The Great Hack has exposed the significant dearth in public understanding around the way that many companies and governments are using our data. Over the past decade, our ever-more connected lives have resulted in an explosion of data, but it is only in recent years that we’ve seen discussion around its use by corporate and governmental organizations brought into the public consciousness.

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Predictive Analytics for Everyone

As we embark on serving our users in the 3rd generation of BI, we are working to enable businesses with capabilities to leverage AI and machine-learning algorithms within their decision-making process. Staying true to our vision for the next generation of BI, we are empowering employees from all spheres of the organization to access the most powerful analytics and insights.

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Harnessing Data for Growth: Why Raw-to-Ready Matters

For the first time in human history, we have access to the second-by-second creation of vast quantities of information from nearly every activity of human life. It’s a tectonic shift that’s transforming human society. And among the myriad impacts is an important one for every business: the shift in data users’ expectations. In the same way that the advent of smartphones triggered expectations of access and convenience, the explosion in data volume is now creating expectations of availability, speed, and readiness. The scalability of the internet of things (IoT), AI in the data center, and software-embedded machine learning are together generating an ever-growing demand in the enterprise for immediate, trusted, analytics-ready data from every source possible.

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Recent Market Commotion Signals Shift in S-curves

James Fisher recently wrote an excellent blog on how we’re now in the third generation of BI and Analytics. I’d like to zoom out and provide some further market context. The last quarter was intense for all of us who follow the data and analytics space, with a veritable cascade of industry news, mostly concerning M&A, but also an ongoing side-show of Hadoop distribution vendors showing signs of struggle. While intense, I can’t say it came as a surprise.

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The $0 data integration project

Sometime ago, when I was with another software company, I was involved in a large implementation of our software. The deployment required our software to connect with a legacy customer application, so an integration between the two products had to be developed. When the Sales person put together the proposal, he quoted this integration for $0 because “it’s so simple, I could create it myself”.

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