October, 2020

DataOps: Managing the Process and Technology

David Menninger's Analyst Perspectives

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.

Win By Keeping Data Science Simple


Getting too fancy by using complex and layered data science approaches can magnify the issues in data instead of controlling them.


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Business Intelligence: How it Enhances Logistics


With the amount of data generated everyday growing by the second quite literally, it is understandable that the world was quick to find the appropriate means to make use of this data.

Predicting Stock Prices using Reinforcement Learning (with Python Code!)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.

The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

A next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide


Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company.

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More Trending

Forrester Report: Choosing the right CX solution for your business - Partnered content with Zendesk


Evaluating new customer service technologies can be overwhelming. With new platforms, deployment methods, and rising customer expectations, the customer service tech ecosystem has grown more and more complex.

Tech culture: A look behind the Phocas culture and its secrets for success


Culture Bites', is a podcast created by culture experts, Human Synergistics. Phocas leaders, Myles Glashier and Karen Hailwood feature in the episode called Phocas. Please have a listen to find out how culture was influential at Phocas before the founders knew what it meant.

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Why Data Management remains a challenge in the Data and AI-first era


Data is the fuel of the modern organisation. As it’s proliferated across the enterprise, more people are integrating it into their business and operational decisions. This means that having a robust data management strategy and infrastructure is critical for the success of every data-driven business.

Building an end to end image classification/recognition application

Analytics Vidhya

Introduction In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is. The post Building an end to end image classification/recognition application appeared first on Analytics Vidhya.

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.

Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards


Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity.

Salesforce to add Einstein Analytics AI to Tableau platform


When Salesforce completed its $15.7 billion acquisition of Tableau Software in August 2019, IT leaders were left wondering what the largest acquisition in Salesforce history might mean.

Why Collaboration Matters in Analytic Processes

David Menninger's Analyst Perspectives

Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide.

4 elements of an efficient business intelligence tool


There are so many business intelligence tools on the market, all promising a competitive edge for your business. A good start is ensuring the software is compatible with your ERP and the tool has built-in content relevant for your industry.

Leading Advertising and Analytics Company Outperforms With a Graph Database

Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before. Learn more.

You Need to Optimize Food Safety With the IoT and Big Data


Most everyday consumers probably don't think much about food safety unless things go wrong. They assume food producers take all the necessary precautions, often consuming a massive assortment of foods for years without ever becoming sick.

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Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Finishing in the top 10% in Machine Learning Hackathons is a. The post Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons appeared first on Analytics Vidhya.

Business Model Canvas: 9 Building Blocks For Developing A Business Model

BA Learnings

Companies, startups in particular, have to keep up with innovation and need to spend their time wisely. Business Plans tend to take time, significant effort and resources to prepare.

Microsoft Data Analyst Associate certification guide


Earlier this year, Microsoft announced it would retire 15 certifications and 44 exams, including MCSA: BI Reporting, which validated data analysts' expertise using Power BI and Excel to visualize data via dashboards and reports.

What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this white paper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.

Evaluating Analytics and BI Software Vendors’ Capabilities

David Menninger's Analyst Perspectives

Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index.

What is Business Intelligence? The ABCs about BI


Business Intelligence (BI) helps decision makers understand how their business is performing. For many years, Phocas customers implemented BI predominately to generate revenue.

Why is Automated Machine Learning Important?


A radical shift in the way enterprises of all scales address machine learning and data engineering is defined by Automated Machine Learning (AutoML). It is time-consuming, resource-intensive, and difficult to apply conventional machine learning approaches to real-world business concerns.

A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists

Analytics Vidhya

Overview A/B testing is a popular way to test your products and is gaining steam in the data science field Here, we’ll understand what. The post A/B Testing for Data Science using Python – A Must-Read Guide for Data Scientists appeared first on Analytics Vidhya.

Brand Health Report: Tech Talent Ranks the Most Innovative Companies They'd Love to Work for and Why

Hired surveyed more than 4,000 tech workers to find out which companies rank as their most desirable employers and how other organizations can compete for their attention. Download this report to learn what tech talent values most in a potential employer and how to improve your employer brand.

A List Of Tools For Designing Your Business Model Canvas

BA Learnings

Are you looking to create a business model canvas? As with most artefacts these days, you don’t need to start from scratch. There are a number of tools you can employ to brainstorm the details of your business model and present it in a professional format.

Has Machine Learning Made Cryptocurrencies Traceable?

Smart Data Collective

Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily. However, some of these changes are not as welcome.

18 Examples Of Big Data Analytics In Healthcare That Can Save People

Data Pine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare.

5 keys to effective business management


Effective business management means managers improve their own efficiency while building a team of productive employees who can achieve company goals.

The Best Data Retention Policy & Template To Get You Started

In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.

Google launches new features to help locate nearest voting locations


(Reuters) - Alphabet Inc's Google said on Friday it was introducing new features across its search engine, Maps and voice assistant to help voters in the United States find their nearest voting locations.

Introduction to Python Functions for Data Science Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a truly wonderful programming language. Python’s flexibility has made. The post Introduction to Python Functions for Data Science Beginners appeared first on Analytics Vidhya.

Surviving Radical Disruption with Data Intelligence


It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. We’re now generating 2.5