The Rise of Digital and Four Tectonic Technology Shifts
This quote from Niccolò Machiavelli – an Italian politician, historian, and philosopher from the Renaissance period, has profound relevance to emerging technologies.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
August 2018
Qlik Healthcare Accelerators - Your On-Ramp to Analytics Adoption
Qlik now offers a selection of pre-built Healthcare applications, including data models and visualizations.
Qlik Geocoding - Qlik GeoAnalytics
Learn about our new add-on subscription service Qlik Geocoding that can be used with Qlik Sense and QlikView. Available operations are enabled in our Qlik GeoAnalytics Connector.
What is your Data EQ?
There is a common misconception about data-informed decision making. It goes that once we implement the right tools, and figure out how to analyze the data correctly, the data will automatically turn into insights and will translate to better business decisions. It sounds great in theory.
Qlik Community Update
Mike Tarallo from Qlik - catches you up on all the exciting things that you might have missed.
Driving the next wave of value creation with analytics
If you could have analytics everywhere, there would be an abundance of insights, which could lead to a boom in decision making on nearly every level, regardless of the situation or user. This is the notion behind the importance of embedded analytics.
Qlik and Big Data
There continues to be an incredible amount of interest in the topic of Big Data. It has transcended from a trend to being simply part of the current IT lexicon. For some organizations, its use has already become an operational reality; providing unprecedented ability to store and analyze large volumes of disparate data that are critical to the organization's competitive success.
The Top 12 Transformative Insights in Healthcare
Every action a healthcare provider, payer, administrator, or patient takes creates new data. The challenge in healthcare is no longer finding data - but making it usable and actionable. This requires knowing what to do with the data you have, and understanding the relationships that exist within it.