As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this second of a two-part blog series, we look at some best practices for data storytelling and how Qlik analytics can help.

If there is a single most delicate aspect to the balance of data sharing and compliance, it lies in the process of creating a single source of truth. This project involves many departments across the company: sales, customer support, and of course, IT. The more stakeholders are involved, the more project's complexity rises, as it contains different objectives from different parties.

In this modern era of digital transformation and big data, business intelligence (BI) dashboards have grown increasingly important in the improvement of business performance and growth of organizations. Dashboards enable you to easily identify and analyze key insights at a glance, and more accurately make important decisions. There are different types of dashboards to fit particular use cases and audiences, including the operational dashboard, strategic dashboard, and analytical dashboard.

Our three key points are: How well do you really know your Ecommerce business? If you have no way of accessing your store’s real-time big data, you can’t see a snapshot of your business at any point in time. Without a business intelligence software platform or BI tools, you’re missing out on real-time benefits.

Cloudera Data Platform (CDP) unifies the technologies from Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). As part of that unification process, Cloudera merged the YARN Scheduler functionality from the legacy platforms, creating a Capacity Scheduler that better services all customers. In merging this scheduler functionality, Cloudera significantly reduced the time and effort to migrate from CDH and HDP.

More IT organizations are leaning on software-defined infrastructure solutions to simplify the management of their applications and workloads than ever before. According to a recent study from Fortune Business Insights, the global software defined data center market is projected to skyrocket from $39.38 billion in 2021, to $169.99 billion over the next six years, or a CAGR of 23.2%.

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). Many organizations are hoping to leverage these massive amounts of data by investing heavily in big data solutions – solutions that they hope can meet business goals such as increasing customer satisfaction, uncovering alternative revenue streams, or improving operational efficiency.

Data governance was an exclusive set of skills and tools based on old-school rules until a few years ago. Today, that's changed. While people who manage data still need tools, rules, and protocols to control and secure data use and sharing, three major trends have transformed the data ecosystem. First, the explosion of data from many nontraditional sources (personal devices, sensors, social data, etc.) provided businesses with massive and unprecedented information to dig for insight.