January, 2021

9 Tips for a Seamless Transition to Data Science for Absolute Noobs!

Analytics Vidhya

ArticleVideos Overview The data science industry is growing exponentially It is important to have a clear understanding of the very basic questions before you. The post 9 Tips for a Seamless Transition to Data Science for Absolute Noobs! appeared first on Analytics Vidhya.

Data Quality Can Make Or Break Your Healthcare Business

DataFloq

Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

If there’s one industry that had previously remained fairly untouched from the technological advancements, it is the sports domain. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart.

Data-driven 2021: Predictions for a new year in data, analytics and AI

DataKitchen

The post Data-driven 2021: Predictions for a new year in data, analytics and AI first appeared on DataKitchen. News News / PR

The Unexpected Cost of Data Copies

This paper will discuss why organizations frequently end up with multiple data copies and how a secure "no-copy" data strategy enabled by the Dremio data lake service can help reduce complexity, boost efficiency, and dramatically reduce costs.

Snowflake Builds on Its Success

David Menninger's Analyst Perspectives

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

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Phocas raises $45 million in capital raise

Phocas

Business intelligence software company Phocas has raised one of the biggest rounds of 2021 so far, securing $45 million to fund the development of its data analytics products, as well as new financial products.

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7 Key Big Data Trends to Watch in 2021

DataFloq

The time for Big Data is here and how. With an average individual generating about 1.7

Our Top Data and Analytics Predicts for 2021

Andrew White

Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed.

The Business Case for DataOps

DataKitchen

Savvy executives maximize the value of every budgeted dollar. Decisions to invest in new tools and methods must be backed up with a strong business case.

Introducing Precisely for Data Integrity

David Menninger's Analyst Perspectives

Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.

4 Approaches to Data Analytics

As the analytics landscape continues to evolve, application teams who need to embed dashboards, reports, and other analytics capabilities in their applications can choose from dozens of solutions. How do you differentiate one solution from the next?

Getting the most from your visual BI solution

Phocas

Knowing how to get the most out of your visual business intelligence (BI) software is essential to your business’ success. It can transform your BI solution from just another business system to time-saving software.

A Guide to the Naive Bayes Algorithm

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya.

How IoT Is Transforming the Future of Food

DataFloq

Interconnected technologies have slowly permeated each aspect of human life. From health, fitness and home security to large-scale industries, the Internet of Things (IoT) makes it possible to automate nearly anything.

IoT 236

Artificial Intelligence Creates Tremendous Changes for the Direction of Marketing

Smart Data Collective

Artificial intelligence (AI) powered solutions have popped up across numerous industries. From healthcare to transportation, it has found applications in a vast number of things and business marketing is no different.

11 Email Deliverability Strategies to Reach the Inbox

With nearly 1 in 5 emails from U.S. senders failing to reach the inbox, deliverability challenges still plague senders and prevent email campaign success. Check out this deliverability guide for actionable strategies and real-world examples of companies applying smart inboxing tactics.

DataOps Reports that Keep Your Finger on the Pulse

DataKitchen

It’s never good when your boss calls at 5 pm on a Friday. The weekly analytics didn’t build correctly. What happened? Call me every hour with updates until you figure it out!”. For many data professionals, this situation is all too familiar.

Cloudera Consolidates Its Data Platform

David Menninger's Analyst Perspectives

Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data.

IT 173

How can wholesale food businesses increase sales?

Phocas

The wholesale food industry is faced with many new challenges as a result of the pandemic, most notably a decline in demand for goods as hotels, restaurants, schools and sporting venues operate at a lower capacity.

Sales 174

Bear run or bull run, Can Reinforcement Learning help in Automated trading?

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya.

Use It, Save It, Or Lose It: Spring Cleaning for Information Governance

Speaker: Speakers Michelle Kirk of Georgia Pacific, Darla White of Sanofi, & Scott McVeigh of Onna

As an organization’s most valuable asset, data should be cared for and integrated, managed, archived, and deleted as appropriate. Join Onna, Georgia Pacific, and Sanofi for this on-demand webinar as they discuss proactive, practical steps for kicking off your organization's own digital cleanup.

What Is Master Data Management (MDM)

DataFloq

Master Data Management (MDM) describes a type of enterprise data management architecture, governed by a collection of formal data quality practices and processes, designed to leverage digital technologies for the entire business.

Data Intelligence in the Next Normal; Why, Who and When?

erwin

While many believe that the dawn of a new year represents a clean slate or a blank canvas, we simply don’t leave the past behind by merely flipping over a page in the calendar.

Do You Need a DataOps Dojo?

DataKitchen

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive.

Emerging Data Platforms Tackle Big Challenges

David Menninger's Analyst Perspectives

Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs.

5 Tips to Advance Your Career as a Technical Recruiter

This step-by-step guide is designed to provide technical recruiters with tips and tricks to achieve tangible results that accelerate their recruiting efforts—and career.

How can data analytics help janitorial and sanitary companies grow their business?

Phocas

Having a clean living and working environment is paramount, which has only heightened since the onsite of the coronavirus. When it comes to sanitation and cleanliness, this cannot be taken for granted – especially as workspaces and homes need to meet specific safety standards.

ML Interpretability using LIME in R

Analytics Vidhya

ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.

The Impact Of AI On Cybersecurity

DataFloq

Artificial intelligence is a term that many science fiction fans are well aware of. However, in recent years, it has gone from fiction pages into reality, as more and more developers are leveraging software's ability to teach itself.

Big Data Plays Key Role in Helping Satellites Get Launched into Orbit

Smart Data Collective

Big data is changing the space race in ways that original founders at NASA and other global space exploration organizations never foresaw decades ago. Miriam Kramer, an author with Axios, talked about the growing number of space companies that are finding new ways to utilize big data.

How to Foster Data Culture (with Data Intelligence Technology!)

Speaker: Aaron Kalb, Co-Founder and CDAO at Alation

Watch Aaron Kalb, co-founder and CDAO at Alation, dive into the role of technology in shaping culture and show how a modern data catalog is helping innovative enterprises create thriving data cultures. Register for the webinar today!

DataOps Facilitates Remote Work

DataKitchen

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer.

Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy.

Why spreadsheet reporting is killing your business

Phocas

Microsoft Excel is frequently referred to as the number one business intelligence (BI) tool because it is one of the most commonly used applications. For smaller businesses, Excel is a useful tool for simple calculations and analysis.

An Introduction to Hypothesis Testing

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction: Many problems require that we decide whether to accept or. The post An Introduction to Hypothesis Testing appeared first on Analytics Vidhya. Beginner Statistics blogathon Hypothesis Testing

Realizing the Benefits of Automated Machine Learning

How are organizations using machine learning and artificial intelligence (AI) to derive business value? Renowned author and professor Tom Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it.