Introducing the QlikView Deployment Framework

Managing a Business Intelligence (BI) deployment of any size is not trivial. Hardware, software, data and analytical applications, all require individual attention to ensure their stability and effectiveness. In order to ease maintenance, increase productivity and prevent an ‘out of control’ BI deployment, it is essential to implement standards and best practices as the groundwork for application governance.


The QlikView Deployment Framework (QDF) introduces a set of standards and best practices to QlikView. It’s a result of the combined experiences of our customers, partners and QlikView experts. Its main purpose is to address structure, organization and resource reusability within a QlikView environment, in turn reducing development time and increasing QlikView manageability.

Read the rest of this article here on the QlikCommunity Business Discovery Blog.

Data Governance – Sometimes Overlooked

A Brief Conversation about Data Governance

Reader: “Woah, woah, hold on a second. Really Mike? – A post on Data Governance? – Don’t you represent QlikView!? Shouldn’t you be blogging about Business Discovery, Big Data or those sexy Data Visualizations!?”

Mike T: “Easy now, take a moment and breath. <sarcastic>You seem to really know your trendy labels, don’t you?</sarcastic> Before we can discover our business, visualize our data or understand if our Big Data is even relevant – something more should be discussed. Obviously, applications and data are prepared from gathered requirements before they are deployed to the masses. However, it is this preparation process and people involved that will determine the accuracy, consistency, assurance and overall longevity of the BI solution; aspects commonly overlooked when a proper Data Governance framework is NOT in place.”

Reader: “A proper Data Governance what?!”

Mike T: “Exactly!”


Now that I’ve gotten your attention I’d like to introduce you to my new series on – yes, Data Governance. Over a series of articles I will introduce you to the concept of Data Governance and the common symptoms and problems that arise from lack thereof. I’ll also include an example where an agency of the US Government could have saved millions annually if a Data Governance framework had been in place. With help from products such as the QlikView Governance Dashboard and QlikView Expressor, I’ll also cover solutions and best practices that can help increase data confidence and reduce risk in the key organizational information used to make decisions.

It’s a Problem

Over the course of my career I have seen many organizations quickly adopt a BI solution and jump right into creating reports and dashboards for one or a few specific needs, while giving little thought to the rest of the BI solution and how others may benefit from previous work. So what happens? Another application is then developed with its own requirements, possibly using data and attributes similar to the first. When developed in an independent, organic and ad hoc manner (as with many organization) business models, data definitions and semantics can be defined inconsistently causing inaccuracies which delay decisions as users search for the truth in data. As Enterprises strive to consolidate data and express a need for data repurposing, it becomes critical to introduce Data Governance standards. It’s been established by many analysts that a high percentage of BI projects fail to meet their objectives; siting a variety of issues which include failure to implement a centralized data repository, inconsistent data models, little to no metadata management and lack of authority to institute and uphold best practices.


Mike T: So Reader, will you join me in my next post where I will address these challenges in greater detail? Hopefully, you will see QlikView is more than just visualizing, analyzing or Big data. It’s about answering questions naturally and intuitively using the RIGHT data.

Mike Tarallo
Senior Product Marketing Manager
QlikView and QlikView Expressor
Follow me: @mtarallo