There was a time when only the elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in Data Science, data engineering, statistics, operations research and other allied fields and did not speak the language of the ordinary business staff. As a result, […]
Data Architecture: One Size Does Not Fit All
There has never been a time when more options were available to stand up a process-driven and/or platform-driven Data Architecture. In recent years, some companies find themselves with an embarrassment of riches, having every tool known to humankind. Using tools à la carte, with a different tool for each solution, works for some organizations. Other […]
Data Science on a Large Scale: Can it Be Done?
Click to learn more about author Mathias Golombek. The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […]
Why Marketers Should Understand AI
Click to learn more about author Ingrid Burton. Marketers today have more data available to them than ever before. Applying artificial intelligence (AI) to that data is necessary to driving marketing effectiveness in today’s competitive digital world. When properly harnessed, AI provides insights that help achieve lower customer acquisition costs, greater lifetime spending per customer […]
Fundamentals of Self-Service Business Intelligence
It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]
Top Use Cases for Data Management Automation
Click to learn more about author Daniel Pullen. Nowadays, we are surrounded by data: We produce a lot of personal data and work with a significant amount of data. When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. But it needs to be well […]
NLP Makes Every Business User More Comfortable with Analytics
Click to learn more about author Kartik Patel. Your business users probably fight you on improving Data Literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its citizen data […]
How AI-Based Cloud Cost Monitoring Saves $360,000 Annually
Click to learn more about author Shay Lang. With the major changes in the global economy this year, the need to monitor and reassess corporate expenses has never been more important. Both small startups and large enterprises have had to improve on the sales side, reduce their overhead, and review their variable costs in what […]
Ten Use Cases to Enable an Organization with Metadata and Catalogs
Click to learn more about author Tejasvi Addagada. Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. However, as the tool-stack in most organizations is getting modernized, so is the variety of […]
What Is Assisted Predictive Modeling?
Click to learn more about author Kartik Patel. Assisted predictive modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they […]