November, 2021

The Benefits and Drawbacks of DataOps in Practice

DataKitchen

The post The Benefits and Drawbacks of DataOps in Practice first appeared on DataKitchen. News News / PR

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Talend Data Fabric Simplifies Data Life Cycle Management

David Menninger's Analyst Perspectives

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

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A Complete Beginner-Friendly Guide to SQL for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases.

The role of AI and ML in Digital Transformation

DataFloq

Overview of AI/ML in. digital transformationThe advent of ML and AI has created great enthusiasm in companies for driving towards automation. While most of us think AI to be the future of technology, but this field is already evolved in various businesses across different verticals.

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

Phocas is an “out of the garage” finalist: a global growth award

Phocas

Phocas is a finalist in the 4 th annual Pause Awards for demonstrating global growth, expansion and success. sales executive HR data analytics business intelligence software culture

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3 Differences Between Coding in Data Science and Machine Learning

KDnuggets

The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

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Analytic Ops: The Last Mile of Data Ops

David Menninger's Analyst Perspectives

Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly.

The Fundamentals of Exploratory Data Analysis

Analytics Vidhya

How To Land Your First Data Science Job

DataFloq

Want to launch your career in data science but don’t know where to start? Check out this step-by-step guide to landing your first data science job.

Capital Coated Steel uses real-time data to react faster to change

Phocas

Critical insights are required by steel distributor, Capital Coated Steel to stay nimble and navigate a turbulent global market. case study wholesale distribution IT building and industrial supplies executive ERP iMetal metalogic

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!

Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

10 DataOps Principles for Overcoming Data Engineer Burnout

DataKitchen

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail.

What Makes a Metric a KPI?

David Menninger's Analyst Perspectives

How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most.

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Build Face Recognition Attendance System using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

3 Ways AI Improves Cancer Screening Detection

DataFloq

Artificial intelligence (AI) has been behind much of the progress in the health care sector. It’s particularly promising for helping physicians diagnose illnesses faster than they otherwise might.

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How to get a quick ROI from business intelligence software

Phocas

When implementing any new strategy, hiring new people or investing in business software, you want to make sure that your business is getting a return on its investment. business intelligence basics strategy management & performance KPIs and metrics

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Top Stories, Nov 15-21: 19 Data Science Project Ideas for Beginners

KDnuggets

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself. 2021 Nov Top Stories Top stories

How To Succeed As a DataOps Engineer

DataKitchen

What makes an effective DataOps Engineer? A DataOps Engineer shepherds process flows across complex corporate structures. Organizations have changed significantly over the last number of years and even more dramatically over the previous 12 months, with the sharp increase in remote work.

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.

Using Event Data in Financial Services to Improve Business Processes

David Menninger's Analyst Perspectives

Our research shows that nearly all financial service organizations (97%) consider it important to accelerate the flow of information and improve responsiveness.

Performing Time Series Analysis using ARIMA Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here.

Amazon's healthcare business has landed Hilton as a key customer

DataFloq

By Jeffrey Dastin. Reuters) -Amazon.com Inc has reached a deal to sell virtual medical services to Hilton in the United States, landing a marquee customer for its nascent healthcare business. The company declined to disclose financial terms of its agreement with the hotel chain.

Data is key to e-commerce success at Hein Electric Supply

Phocas

American electrical wholesale distributor redeploys Phocas to restore data confidence and help company with B2B ecommerce initiatives. case study wholesale distribution sales electrical executive ERP

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Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

Easy Synthetic Data in Python with Faker

KDnuggets

Faker is a Python library that generates fake data to supplement or take the place of real world data. See how it can be used for data science. 2021 Nov Tutorials, Overviews Data Science Python Synthetic Data

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The vast majority of data engineers are burnt out. Those working in healthcare are no exception

DataKitchen

The post The vast majority of data engineers are burnt out. Those working in healthcare are no exception first appeared on DataKitchen. News News / PR

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TIBCO Broadens Portfolio for Improved Analytics Efficiency

David Menninger's Analyst Perspectives

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

How to Deploy Machine Learning(ML) Model on Android

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Solving Machine learning Problems in a local system is only not the case but making it able to community to use is important otherwise the model is up to you only.

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.

AI-driven Sentiment Analysis in Customer Service: Use Cases, Benefits, Expert Tips

DataFloq

“People will forget what you said, people will forget what you did, but people will never forget how you made them feel.”?—?Maya Maya Angelou, American poet and activistIf this quote is accurate, then understanding customers’ sentiment is essential for business success.

Strongdor uses data to future proof operations

Phocas

Strongdor is a premier manufacturer of secure steel doors, operating out of two facilities in Lancaster, England, including its 4,500 square meter manufacturing hub. case study wholesale distribution sales plumbing and HVAC executive ERP

Data Scientists: How to Sell Your Project and Yourself

KDnuggets

Follow this formula for the perfect elevator pitch. 2021 Nov Opinions Career Advice Data Science Data Scientist Project

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.