Alation

MAY 10, 2021

Why Implement a Data Catalog? In a word: insight. Nowadays, businesses have more data than they know what to do with. Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. But let’s rewind: how do you know you need a data catalog in the first place?

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Analytics Vidhya

MAY 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya.

Machine Learning 382

Machine Learning Data Science Publishing Technology 382

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

Analytics Vidhya

MAY 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In this article, I have curated a list of 20. The post Top 20 Conceptual Questions To Test Your Data Science Skills In 2021 appeared first on Analytics Vidhya.

Testing 320

Testing Data Science Publishing Analytics 320

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment. In CDP Private Cloud, the introduction of Cloudera Data Warehouse and Cloudera Machine Learning Experiences on RedHat OpenShift Kubernetes clusters means that we can deploy new

Data Warehouse 104

Data Warehouse Consulting Machine Learning Risk 104

Analytics Vidhya

MAY 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Tesla Roadster In Outer Space, Photo Credits: AP. Copyright Space X, The post Making Sense of Astronomical Valuation of Tesla appeared first on Analytics Vidhya.

Data Science 236

Data Science Publishing Analytics Structured Data 236

Smart Data Collective

MAY 10, 2021

Big data has changed the nature of modern business in tremendous ways. As a result, a growing number of companies have started hiring data scientists to handle many of the different functions that they need to oversee. Companies have to take a number of things into consideration when hiring and managing data scientists. A lot of the same principles apply as with managing and onboarding other employees.

Management 71

Management Cost-Benefit Big Data Software 71

Teradata

MAY 10, 2021

The sharing of client data in an Open Banking marketplace challenges banks to adopt a customer-centric approach & collaborate with new players to re-define their relevance.

59

59

Dataiku

MAY 10, 2021

When picturing a data scientist, many people might imagine a highly skilled individual working alone. Indeed, data scientists are often very specialized and it is therefore challenging for individuals to replicate their capabilities in order to increase the benefits businesses receive from such skills. Organizations like Unilever and Capgemini tackle this challenge notably by embracing the rising trend of citizen data science.

Data Science 59

Data Science Modeling IT 59

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Jet Global

MAY 10, 2021

Financial reporting, operational reporting, financial planning and analysis—there’s no shortage of work for finance teams to do as organizations continue to adjust to the new economic realities that the pandemic thrust upon the world stage in 2020. At a time of great uncertainty, the role of finance professionals has, of necessity, evolved into an ever more strategic one.

Finance 98

Finance Recreation/Entertainment Reporting Uncertainty 98