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Tag: data scientists


BI Users, Data Analyst

Why Geospatial Data Should Be Easily Accessible for Every Employee

May 31, 2023

Via: DATAVERSITY

Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness […]


BI Users, Business Users

Business Use Cases Create Momentum for Citizen Data Scientists

December 27, 2022

Via: DATAVERSITY

As businesses plan for data democratization, it is essential to include a strategy to ensure that business users will accept augmented analytics solutions and adapt to the new citizen data scientist role. With business users on board, the enterprise can […]


BI Categories, Data Mining

What is DataOps? Collaborative, cross-functional analytics

December 22, 2022

Via: CIO

What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. […]


Basic Querying, BI Categories

Why Leveraging Unstructured Data and AI Will Be Key to Customer Success in 2023

December 12, 2022

Via: DATAVERSITY

Analysts like IDC and Deloitte estimate that up to 80% of the world’s data is unstructured text data, which makes getting valuable insights out of this type of data a huge challenge. Worse, customers can’t easily find the right answers […]


BI Users, Data Analyst

Expert tips for hiring (and retaining) data scientists

September 1, 2022

Via: CIO

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. Without enough trained, high-level data scientists to fill all the job […]


Software & Systems

4 Reasons Why Companies are Using AutoML

August 30, 2022

Via: CIO

The meager supply and high salaries of data scientists have led to a decision among many companies totally in keeping with artificial intelligence ― to automate whatever is possible. Case in point is machine learning. A Forrester study found that […]


BI Users, Data Analyst

IT career roadmap: Data scientist

August 23, 2022

Via: InfoWorld

Data science involves using scientific methods, algorithms, and systems to extract insights from structured and unstructured data. As a discipline, data science synthesizes mathematics, statistics, computer science, domain knowledge, and other inputs to analyze events and trends.In a world gone […]


BI Users, Data Analyst

Five Types of Advanced Analytics Challenges

August 15, 2022

Via: DATAVERSITY

Many data scientists and analytics consultants complain they were hired to be a part of advanced analytics teams at corporations, but all they do is data analysis or reporting work. The bigger problem here is that the personnel leading these […]


BI Users, Executive

IT leaders get creative to fill data science gaps

July 28, 2022

Via: CIO

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. […]


BI Categories, Data Mining

Why Data Storytelling Matters to Data Scientists

June 8, 2022

Via: DATAVERSITY

In an increasingly data-driven world, companies worldwide have transformed the way they operate. Much of this is thanks to their ability to access a volume of data that was not available in the past. However, more recently, organizations have realized […]


BI Categories, Business Analysis

What Does a Data Product Manager Do?

April 12, 2022

Via: CMSWire

A couple of weeks ago, I had the opportunity to interview Sharon Kratochvil, global data & analytics executive for Capri Holdings Limited. Capri Holdings is a global fashion luxury group, consisting of iconic brands (Michael Kors, Jimmy Choo, Versace) that […]


BI Users, Data Analyst

How Low-Code Is Bridging the Gap Between Data Scientists and Businesses

March 9, 2022

Via: DATAVERSITY

Coding is a foreign language for many high-level and C-suite executives who lead corporations today. However, it’s hard to find anyone who doesn’t understand the importance of technology and how our future will hinge on mastering it. Although many computer […]


BI Categories, Data Mining

Why Synthetic Data Still Has a Data Quality Problem

February 4, 2022

Via: DATAVERSITY

According to Gartner, 85% of Data Science projects fail (and are predicted to do so through 2022). I suspect the failure rates are even higher, as more and more organizations today are trying to utilize the power of data to […]


BI Users, Data Analyst

4 Reasons Data Scientists Leave (and How to Retain Top Talent)

January 31, 2022

Via: DATAVERSITY

The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity […]


BI Users, Executive

Managing Talent in the Age of AI

December 27, 2021

Via: DATAVERSITY

Artificial intelligence (AI) is transforming the way we live and work, and the pace of that change is accelerating across every aspect of the business landscape, from operations to the customer experience. As its capabilities expand, investment in AI continues […]


BI Users, Data Analyst

How Low-Code Analytics Will Democratize Data

October 7, 2021

Via: DATAVERSITY

I’d wager that most people who build websites today know very little HTML. That’s fine – most websites are built via low-code tools that hide code-level details behind GUIs. This lets website builders focus on creating products instead of worrying […]


BI Categories, Data Mining

6 ways to deal with the great data scientist shortage

May 22, 2019

Via: CIO

The seemingly insatiable demand for data scientists continues to grow as organizations look for professionals who can glean insights from all the information they are gathering. In a report released in January 2019, business and employment social media site LinkedIn […]