Incorta Streamlines Analytics with Direct Data Access

David Menninger's Analyst Perspectives

business intelligence embedded analytics Analytics Collaboration Data Governance Data Preparation Data Information Management (IM) data lakesThe amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before.

The 2021 Market Agenda for Analytics: Converting Data Into Insights

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2021 market agenda for Analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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Yellowfin is Innovative Leader in Mobile and Collaborative Analytics

David Menninger's Analyst Perspectives

business intelligence embedded analytics Analytics Collaboration Data Governance Data Preparation Information Management Data natural language processing AI and Machine Learning

A complete guide to doing Geospatial Analytics

Analytics Vidhya

The post A complete guide to doing Geospatial Analytics appeared first on Analytics Vidhya. Advanced Machine Learning Geospatial analysis Geospatial Analytics

Insiders' Guide to Self-Service Analytics

Self-service analytics are vital for how your users interact and engage with your application. As you explore analytics solutions for your application, see why self-service analytics can prove critical to the adoption and stickiness of your application.

Microsoft Azure: Cloud Computing for Data and Analytics

David Menninger's Analyst Perspectives

embedded analytics Analytics Business Intelligence Collaboration Data Governance Data Lake Data Preparation Data AI and Machine Learning Microsoft AzureOrganizations are increasingly using data as a strategic asset, which makes data services critical.

Text Analytics of Resume Dataset with NLP!

Analytics Vidhya

The post Text Analytics of Resume Dataset with NLP! appeared first on Analytics Vidhya. Beginner Data Science Machine Learning NLP Python Text blogathon python Text analytics

Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy.

Business analytics success stories

Phocas

It’s no secret that business analytics has transformed the way we make decisions. Business analytics software can help address both. People can now make judgements with real data instead of gut feel.

2021 Analytics and Data Value Index: Market Observations and Perspective

David Menninger's Analyst Perspectives

Having just completed the 2021 Ventana Research Value Index for Analytics and Data, I want to share some of my observations about how the market has advanced since our assessment two years ago.

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. I had anticipated that three-quarters of analytics vendors would include collaboration capabilities.

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.

Data Analytics vs Data Analysis, Are they similar?

Analytics Vidhya

The post Data Analytics vs Data Analysis, Are they similar? appeared first on Analytics Vidhya. Beginner Career Job Roles Machine Learning blogathon data analysis data analyticsArticleVideo Book This article was published as a part of the Data Science Blogathon.

Report “Data Management for Advanced Analytics.” (TIBCO) 

Corinium

With the diversity of advanced analytics tools on the market, how do you know which data management solution will work for your organization? Truth is, you just need to find the right one for your particular advanced analytics solution. Data and Analytics TIBCO

What is distributor analytics software?

Phocas

With big players' dominance, distributor analytics software helps to analyze and optimize data specific to the wholesale industry and address challenges the new marketplace presents. Industry - Wholesale Distribution data analytics Inventory Management

Three Data and Analytics Predictions for 2020

Corinium

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020. Data and Analytics AI & Machine Learning

Oracle Earns Innovative Vendor Rating in 2021 Analytics and Data Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about Oracle Analytics Cloud drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Free business analytics software. Is it worth it?

Phocas

“Free BI trial, business analytics software for free, free BI reporting”– these offers are tempting business people all the time especially as new players enter the market and want cut-through. business intelligence basics sales executive HR data analytics

Moving from reactive analytics to proactive analytics

Corinium

Ahead of the third Chief Data & Analytics Officer Singapore conference, we caught up with Murari Mohan, Assistant Vice President, Partnership Analytics, Business and Data Science,, NTUC Link to talk about moving from reactive analytics to proactive analytics, the cultural hurdles to be addressed in order to drive intelligent data strategies as well as the most significant steps to be taken to move from strategy to execution. CDAO Sydney CDAO Analytics

Sports Analytics – Generating Actionable Insights using Cricket Commentary

Analytics Vidhya

Overview What is sports analytics? What are the different use cases of sports analytics? We answer these questions here Understand how sports analytics can.

Embedded Analytics Provide Meaningful Insights

David Menninger's Analyst Perspectives

Analytics and business intelligence (BI) play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must not only access the data, generate and apply insights from analytics, and communicate the results, they also must ensure that the analytics are presented in a way that leads to action.

4 Approaches to Data Analytics

As the analytics landscape continues to evolve, application teams who need to embed dashboards, reports, and other analytics capabilities in their applications can choose from dozens of solutions. How do you differentiate one solution from the next?

Domo Rated Exemplary and Collaborative Leader in 2021 Value Index on Analytics and Data

David Menninger's Analyst Perspectives

business intelligence embedded analytics Analytics Collaboration Data Preparation Information Management Data natural language processing AI and Machine Learning

Analytics in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.

Process Mining: Improve Execution and Operations with Analytics

David Menninger's Analyst Perspectives

business intelligence Analytics Digital Technology AI and Machine Learning robotic automationProcess-mining software isn’t exactly new, but it’s also not widely known in the software technology market.

6 Top Tools for Analytics and Business Intelligence in 2020

Analytics Vidhya

Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. The post 6 Top Tools for Analytics and Business Intelligence in 2020 appeared first on Analytics Vidhya.

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

Start Freelancing in Data Science/Data Analytics!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction “Data Science” and “Data Analytics” are the most booming fields. The post Start Freelancing in Data Science/Data Analytics! appeared first on Analytics Vidhya.

The business case for data analytics

Phocas

So how do you make the business case for data analytics? Data is a critical business asset. Few will argue that point. Better data leads to better decision-making. Again, no argument. business intelligence basics IT executive

Business Analytics vs. Data Science – Which Path Should you Choose?

Analytics Vidhya

Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. The post Business Analytics vs. Data Science – Which Path Should you Choose? appeared first on Analytics Vidhya.

MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data

David Menninger's Analyst Perspectives

business intelligence embedded analytics Analytics Collaboration Data Governance Data Preparation Information Management Data natural language processing AI and Machine Learning

Product Analytics Playbook: Mastering Retention

Why do your users churn? In this guide you'll learn common product pitfalls and how to fix them.

Data analytics essentials for the COVID-19 crisis

Phocas

Strong visibility into your operations using data analytics principles can help manage inventory levels and keep cash flow steady.

Find the next steps in your analytics journey

Phocas

sales strategy management & performance executive data analytics data visualizationsWhen it comes to making sense of your data, the first course of action for many mid-market business owners and their finance team is to consult the spreadsheets.

IBM is Exemplary and Leader in Analytics and Data Value Index

David Menninger's Analyst Perspectives

embedded analytics Analytics Business Intelligence Collaboration Data Governance Data Preparation Information Management natural language processing AI and Machine Learning

What is data analytics?

Phocas

Phocas creates data analytics software. We have been helping businesses control and leverage their data for nearly 20 years, but for many people, data analytics is a new tool.

The Essential Guide to Building Analytic Applications

Embedding dashboards, reports, and analytics in an existing application presents some unique opportunities—and poses unique challenges—to software teams. Download this eBook to hear 16 product experts share insights on business intelligence, UI/UX, security, and everything that goes into building a successful application with analytics at its core.

What lessons can business learn from football analytics?

Phocas

sales strategy management & performance data analyticsIn football, the New England Patriots are an upper-middle-market organization in terms of market size, yet have won six Super Bowls in the past 20 years.

How to ensure you have proactive data analytics

Phocas

business intelligence basics decision-making data analyticsBusiness people often approach data from a reactive stance, in other words, make decisions and then turn to data and metrics to assess performance.

How To Have a Career in Data Science (Business Analytics)?

Analytics Vidhya

“ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya. Beginner Big data Business Analytics Career Job Roles Python SAS Business Analyst career career path data science data scientist

Getting Started with Analytics: The Actionable and Measurable Way

Analytics Vidhya

The post Getting Started with Analytics: The Actionable and Measurable Way appeared first on Analytics Vidhya. Beginner Business Analytics organization analytics

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.