Data Platform Operational Maturity Framework
Data Platform Operational Maturity Framework This guide was co-written by Babak Tabesh and Allyse Fristo. Organizations are undergoing data transformations and modernization efforts to remain competitive but few can effectively build and sustain the platform of their vision. Building and operating a data platform at an exceptional level is not perceived as a competitive differentiator […]
How to Enable Governed Self-Service Analytics
I’ve never had small children in my house, but my parents can in fact confirm that I was once a small child. They can also confirm that as a small child, emboldened by my creative ambitions, I once took a big blue crayon to the largest blank canvas my young eyes had ever seen—my bedroom […]
What are the 6 Golden Rules for Structuring Data for Analytics?
In this article, we will go over the six (nearly) universal rules that can apply and make your life easier when putting together simple data sets for reporting and analytics tools. We’ll cover the rules in more detail, including good and bad examples of each. The Six Golden Rules are: Numerical measures should be in […]
Building a Predictive Model in KNIME
If you spend even a few minutes on KNIME’s website or browsing through their whitepapers and blog posts, you’ll notice a common theme: a strong emphasis on data science and predictive modeling. Delving further into KNIME Analytics Platform’s Node Repository reveals a treasure trove of data science-focused nodes, from linear regression to k-means clustering to […]
Five Most Useful Extensions in KNIME
When you download KNIME Analytics Platform for the first time, you will no doubt notice the sheer number of nodes available to use in your workflows. With hundreds of nodes at your disposal, the idea of wanting more nodes might seem unnecessary. Of course, as any analytics engineer could tell you, there is no such […]
Ultimate Guide to Analytics Center of Excellence
Data analytics has become an essential part of modern business operations. It allows organizations to make informed decisions based on data-driven insights and to measure and improve their performance. To effectively leverage the power of data analytics, many organizations have created an Analytics Center of Excellence (ACE). An ACE is a dedicated team or unit […]
How Does Analytics Help in Manufacturing?
Manufacturing is a complex industry that involves managing a wide range of variables to ensure that products are produced efficiently and to the highest quality. Analytics can be a powerful tool in this process, helping manufacturers to identify trends, optimize processes, and make informed decisions. In this blog, we’ll take a closer look into how […]
How to Build an Analytics Strategy Roadmap
As data becomes increasingly available in organizations, the insights derived from it are not keeping pace. To maximize the potential of this data, businesses need to focus on creating a modern analytics environment that prioritizes both technology and the skills of their employees. This is important regardless of the size of the organization, as a […]
What is phData’s Alteryx Server Reporting & Monitoring Tool?
Alteryx Server has always been a powerful and key aspect of any company’s investment in the Alteryx platform. It capitalizes on functionality around sharing, scheduling, and governance capabilities. However, leveraging Alteryx Server to its fullest potential is a daunting task, even for those with years of experience. The challenges of managing and monitoring the usage […]
5 Common Types of BI & Analytics Platform Migrations
There’s a multitude of different reasons why an organization may consider a business intelligence (BI) platform migration. In most cases, the type of migration needed will vary based on the specific needs and goals of the organization. Considering a BI platform migration? Here are some of the most common types of BI platform migrations. On-Premises […]
