May, 2022

Data and Analytics Processes: Can We Get Personal?

David Menninger's Analyst Perspectives

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way.

How Helpful Are Computer-Based Cancer Diagnostics?

DataFloq

Breast cancer has been prevalent among females for some decades and has been found to be the most pernicious cause of mortality among women worldwide the data released by premier medical research organizations states so. In 2020, there were 2.3

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Modin: Expedite Your Pandas Code with Single Change

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data.

DataKitchen In The The insideBIGDATA IMPACT 50 List

DataKitchen

News News / PR

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How to Choose the Right Business Intelligence Vendor

How does your current BI vendor stack up against the competition? Who’s the perfect vendor for your business needs? Find out by downloading your complimentary copy today!

How KLN Brands support 11% growth and move forward with Phocas

Phocas

Scaling and expanding are daunting challenges for any organization, but this midwest manufacturer has found the key for this quandary. case study manufacturing finance sales executive consumer goods financial statements

6 Ways Data Analytics Can Improve Targeting with LinkedIn Ads

Smart Data Collective

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media.

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People Analytics and Building a Remote Workforce

DataFloq

According to LinkedIn’s Global Talent Trends report, 85% of talent professionals agree that ‘People Analytics ’ is very important to the future of recruiting and HR. Not surprisingly, there has been a 242% increase in HR professionals with data analysis skills over the last five years.

Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform.

DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report

DataKitchen

"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics".

Why the future of finance depends on new skills

Phocas

As many economies emerge from the pandemic, the “Great Resignation” has brought people's issues sharply into focus. finance financial statements HR dynamic reporting

Cyber Security, Change Management and Enterprise Risk Management: Scaling Operations for Growth

Speaker: William Hord, Vice President of Risk Management and Compliance

Join us as we discuss the various tangents of data and the change management process that will help you make better risk-based business decisions to save time and money for your organization.

The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations. KDnuggets Originals Career Advice

How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks.

Importance of Monitoring and Debugging for Healthy Data Environments

DataFloq

In today's digital transformation era, data takes on the role of new oil. The number of companies and organizations that make decisions and take action based on data is increasing day by day. This situation brings with it both some advantages and disadvantages.

Use of Date and Time Functions in SQL Server

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

DataKitchen Noted For DataOps Thought LeaderShip

DataKitchen

The post DataKitchen Noted For DataOps Thought LeaderShip first appeared on DataKitchen. News News / PR

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5 things you need for financial reporting in the data decade (and how to get them)

Phocas

How much time does your finance team spend collecting, sifting, and analyzing data? BI basics finance executive financial statements dynamic reporting data analytics budgeting and forecasting

Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know. KDnuggets News News

8 Data-Driven Strategies to Improve Customer Engagement

Smart Data Collective

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement.

The Benefits of Infused Analytics for SaaS Applications and Companies

If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners. See how infused analytics can take your SaaS applications to the next level.

How Big Data Certifications boost your career in data science

DataFloq

The global big data market size is expected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6 percent. The big data industry is driven by continuous innovation.

An End-to-end Guide on Anomaly Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Anomaly is something that is not normal. Any data point which is placed at a distance from all normal data points is an anomaly. Hence anomalies are also called outliers.

Podcast: Storytime for DataOps

DataKitchen

The post Podcast: Storytime for DataOps first appeared on DataKitchen. Podcast Uncategorized Webinar / Podcast

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable.

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives. KDnuggets Originals Data Science

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How Data Analytics can Help you Bolster Your Career Performance?

Smart Data Collective

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time.

The Present and Future of the Internet of Things

DataFloq

The general availability of information technologies and a significant change in our attitude to their presence allowed the rapid development of the Internet of things. During the last ten years, IoT has managed to penetrate almost all the spheres of our life.

How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject.

Start Taking Your Embedded Partnerships Seriously

Choosing the right embedded partner matters. See the many reasons why developers love Qrvey (and why you will too!) in this free PDF.

Why DBAs Must Automate to Survive

The Data Administration Newsletter

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective.

Optimizing Hive on Tez Performance

Cloudera

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications.

Understanding Agent Environment in AI

KDnuggets

The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here. KDnuggets Originals Artificial Intelligence

Big Data Creates Many Great Opportunities With Sales Automation

Smart Data Collective

Big data technology is incredibly important in many aspects of modern business. The sales profession is one of the areas most affected by data. Companies spent $2.8 billion on marketing analytics in 2020 alone. That figure is growing substantially each year.

Sales 101

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.