Expert insights. Personalized for you.
The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times. MORE
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. MORE
Business Intelligence (BI) helps decision makers understand how their business is performing. For many years, Phocas customers implemented BI predominately to generate revenue. MORE
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. MORE
Effective business management means managers improve their own efficiency while building a team of productive employees who can achieve company goals. MORE
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. MORE
As per IBM, the demand for data scientists is going to increase by 28% in 2020 compared to last year. MORE
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
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. MORE
Getting too fancy by using complex and layered data science approaches can magnify the issues in data instead of controlling them. MORE
Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At MORE
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. MORE
Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. MORE
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage. MORE
I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
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. MORE
We are thrilled to announce that Cloudera has acquired Eventador , a provider of cloud-native services for enterprise-grade stream processing. MORE
This article was published as a part of the Data Science Blogathon. Introduction How can Data Science, besides helping you professionally, improve the quality. The post Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions appeared first on Analytics Vidhya. MORE
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. MORE
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. MORE
This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya. MORE
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. MORE
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. MORE
BA Learnings
OCTOBER 4, 2020
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.
Analytics Vidhya
OCTOBER 1, 2020
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
David Menninger's Analyst Perspectives
OCTOBER 5, 2020
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.
datapine
OCTOBER 20, 2020
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.
Advertisement
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.
Corinium
OCTOBER 20, 2020
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.
Phocas
OCTOBER 21, 2020
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.
|
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
|
Analytics Vidhya
OCTOBER 5, 2020
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.
David Menninger's Analyst Perspectives
OCTOBER 7, 2020
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.
datapine
OCTOBER 7, 2020
Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company.
BA Learnings
OCTOBER 4, 2020
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.
Advertiser: Amplitude
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.
Phocas
OCTOBER 1, 2020
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.
DataFloq
OCTOBER 19, 2020
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.
Analytics Vidhya
OCTOBER 17, 2020
Overview Understand what SQL and NoSQL databases are. Go through the prominent difference between SQL and No SQL Databases. This is not an exhaustive. The post SQL vs NoSQL Databases – A Key Concept Every Data Engineer Should Know appeared first on Analytics Vidhya.
Rocket-Powered Data Science
OCTOBER 16, 2020
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.
Advertiser: Data Robot
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.
datapine
OCTOBER 14, 2020
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.
Cloudera
OCTOBER 12, 2020
We are thrilled to announce that Cloudera has acquired Eventador , a provider of cloud-native services for enterprise-grade stream processing.
Phocas
OCTOBER 14, 2020
Business Intelligence (BI) helps decision makers understand how their business is performing. For many years, Phocas customers implemented BI predominately to generate revenue.
DataFloq
OCTOBER 19, 2020
Getting too fancy by using complex and layered data science approaches can magnify the issues in data instead of controlling them.
Advertiser: UserTesting
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.
Analytics Vidhya
OCTOBER 6, 2020
This article was published as a part of the Data Science Blogathon. Introduction How can Data Science, besides helping you professionally, improve the quality. The post Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions appeared first on Analytics Vidhya.
Paul Turley
OCTOBER 10, 2020
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.
Domino Data Lab
OCTOBER 7, 2020
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage.
Rocket-Powered Data Science
OCTOBER 16, 2020
I recently enjoyed recording a podcast with Joe DosSantos (Chief Data Officer at Qlik ). This was one in a series of #DataBrilliant podcasts by Qlik , which you can also access here and here. I summarize below some of the topics that Joe and I discussed in the podcast.
Advertisement
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.
Phocas
OCTOBER 7, 2020
Effective business management means managers improve their own efficiency while building a team of productive employees who can achieve company goals.
DataFloq
OCTOBER 14, 2020
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.
Analytics Vidhya
OCTOBER 5, 2020
This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya.
Smart Data Collective
OCTOBER 13, 2020
Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At
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.
Paul Turley
OCTOBER 18, 2020
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.
erwin
OCTOBER 1, 2020
The erwin WFH (Work From Home) Impact Manager is a remote-work app that provides visibility and intelligence to help remote workers be more productive and process-compliant. The global pandemic is the single most disruptive event in modern times.
Phocas
OCTOBER 20, 2020
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.
DataFloq
OCTOBER 17, 2020
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.
Advertisement
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.
95 
Let's personalize your content