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6 Dos and Dont's of Data Governance - Part 1

One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data governance is a non-departmental initiative, but rather a company-wide initiative, you will need to prove its value from the start to convince leaders to prioritize and allocate some resources.

Cloud Data Warehouse Trends You Should Know in 2019

In October 2018, TDWI and Talend asked over 200 architects, IT and Analytics managers, directors and VPs, and a mix of data professionals about their cloud data warehouse strategy in a survey conducted in October 2018. We wanted to get real answers about how companies are moving to the cloud, especially with the recent rise of Cloud Data Warehouse technologies. For instance, we wanted to know if a cloud data warehouse (CDW) is seen as a key driver of digital transformation.

AI in depth: monitoring home appliances from power readings with ML

As the popularity of home automation and the cost of electricity grow around the world, energy conservation has become a higher priority for many consumers. With a number of smart meter devices available for your home, you can now measure and record overall household power draw, and then with the output of a machine learning model, accurately predict individual appliance behavior simply by analyzing meter data.

Automated Machine Learning: is it the Holy Grail?

Machine learning is in the ascendancy. Particularly when it comes to pattern recognition, machine learning is the method of choice. Tangible examples of its applications include fraud detection, image recognition, predictive maintenance, and train delay prediction systems. In day-to-day machine learning (ML) and the quest to deploy the knowledge gained, we typically encounter these three main problems (but not the only ones).

The 2019 Gartner MQ - Qlik Named a Leader 9 years in a Row!

Today’s always a big day in the analytics world – the release of the annual Gartner Magic Quadrant for Analytics and Business Intelligence. Qlik continues its streak of being positioned in the leader’s quadrant, with today marking our ninth consecutive year. That is consistency in vision and execution a customer can trust. So how did we get here?

Make Way for the Qlik Sense Enterprise February 2019 Release!

To begin, following the success of the Dashboard Bundle released back in November, we are now launching the Visualization Bundle, which includes seven of the most popular visualization extensions from our open source community. These additional chart types dramatically improve how our customers can visualize data. More to come throughout the year with new and exciting advancements via our bundled extension strategy.

Data Warehouse Modernization and the Journey to the Cloud

To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to the mix.