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

DataFloq

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

DataFloq

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.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

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

datapine

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.

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

Corinium

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.

More Trending

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.

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

DataFloq

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.

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.

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

datapine

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

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Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

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.

4 elements of an efficient business intelligence tool

Phocas

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.

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.

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

DataFloq

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.

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

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.

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

datapine

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.

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.

What is Business Intelligence? The ABCs about BI

Phocas

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

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

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.

Why is Automated Machine Learning Important?

DataFloq

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.

Cloudera acquires Eventador to accelerate Stream Processing in Public & Hybrid Clouds

Cloudera

We are thrilled to announce that Cloudera has acquired Eventador , a provider of cloud-native services for enterprise-grade stream processing.

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How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

Doing Power BI the Right Way: 7. Validating data model results

Paul Turley

Moving important business data into a data model for analytic reporting can often be a two-edge sword. Data retrieval is fast and can support all kinds of analytic trending and comparisons.

5 keys to effective business management

Phocas

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

The curse of Dimensionality

Domino Data Lab

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage.

U.S. ITC delays decision on LG Chem, SK Innovation trade secret case

DataFloq

By David Shepardson and Heekyong Yang. WASHINGTON/SEOUL (Reuters) - The United States International Trade Commission (ITC) on Monday delayed a decision in a trade secrets case involving South Korean battery makers LG Chem Ltd and SK Innovation Co Ltd to Dec.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. We are excited to be joined by Leo Zhadanovsky, a Principal Solutions Architect at Amazon Web Services.

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.

Key Strategies and Senior Executives’ Perspectives on AI Adoption in 2020

Rocket-Powered Data Science

Artificial intelligence (AI) has become one of the most significant emerging technologies of the past few years. Some market estimates anticipate that AI will contribute 16 trillion dollars to the global GDP (gross domestic product) by 2030.

New Multithreading Model for Apache Impala

Cloudera

Introduction. Today we are introducing a new series of blog posts that will take a look at recent enhancements to Apache Impala.

How to find sales revenue in your data

Phocas

When leading a sales team, all roads must lead to revenue-generating opportunities. And with data considered the most important business asset, you need to consolidate and aggregate your data so you can analyze it accurately.

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Rethinking Information Governance In The Age of Unstructured Enterprise Data

Today’s organizations are faced with the overwhelming challenge of managing, finding, and leveraging their information. This eBook discusses a newly discovered information discipline and is filled to the brim with helpful information.