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Mind the Gap Between Data and Analytics

David Menninger's Analyst Perspectives

I suggest we also need to mind the gap between data and analytics. business intelligence embedded analytics Analytics Data Governance Data Management data operations Analytics & Data

Analytics 266
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Top Customer Analytics Interview Questions

Analytics Vidhya

For a business to be data-driven, a Company needs to be highly data-driven and focus highly on customer analytics. The post Top Customer Analytics Interview Questions appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Churn Analytics in Telecommunications Company

Analytics Vidhya

Introduction What is Churn Analytics? Learn from the industry expert Sakshi Gujral who will take you through all the essential details and give you some tips on improving churn analytics results when used practically.

Analytics 188
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Zoho Unifies Data and Analytics

David Menninger's Analyst Perspectives

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights.

Analytics 237
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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases.

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Advanced Analytics: Definition, Benefits & Techniques

DataFloq

But as every team member and business management is aware, markets and competition in business change swiftly, and today's business intelligence programs are becoming advanced analytics initiatives. Businesses need to understand the advantages of Advanced Analytics as they consider the change.

Analytics 232
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IBM Builds on Analytics and BI Foundation

David Menninger's Analyst Perspectives

Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise. embedded analytics Analytics Business Intelligence IBM IBM Watson AI and Machine Learning

Analytics 226
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Sisense is Sensible for Embedded Analytics and BI

David Menninger's Analyst Perspectives

Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process. Our Analytics and Data Benchmark Research shows that organizations face various challenges with analytics and BI.

Analytics 216
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Teaching the Ethics of Analytics

DataFloq

I've written about and given much thought to ethics and its relationship to analytics and data science. A Case Study Approach for Ethical Analytics. Originally published by the International Institute for Analytics. Strategy analytics data science ethics governance

Analytics 282
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Improving the State of Analytics in Organizations

David Menninger's Analyst Perspectives

Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI).

Analytics 270
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Oracle Links Analytics and Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence.

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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.

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The Link Between Analytics Maturity and Social Media Influencers

DataFloq

What could corporations' analytics maturity and social media influencers have in common? I was emcee for the International Institute for Analytics Symposium in October and one of the panel discussions made the connection between these seemingly unrelated topics come together in my mind.

Analytics 255
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The 2023 Market Agenda for Analytics: Empowering Workforces to Engage

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 130
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What is Cloud Analytics and Its Importance?

Analytics Vidhya

The post What is Cloud Analytics and Its Importance? appeared first on Analytics Vidhya. Artificial Intelligence Beginner Cloud Computing Machine Learning blogathon cloud analytics machine learningThis article was published as a part of the Data Science Blogathon.

Analytics 250
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Getting Started with Azure Synapse Analytics

Analytics Vidhya

Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding. The post Getting Started with Azure Synapse Analytics appeared first on Analytics Vidhya.

Analytics 227
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Enabling Business Intelligence with Unstructured Data Analytics

DataFloq

Unstructured data analytics is certainly the way forward. Unstructured data analytics at your fingertip. Enabling Unstructured Data Analytics. Now that you know how unstructured data ready can be used for analytics , the next step would be data analysis.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. Modern enterprises leverage cloud data lakes as the platform used to store data. 57% of the enterprises currently using a data lake cite improved business agility as a benefit.

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People Analytics and Building a Remote Workforce

DataFloq

According to LinkedIn’s Global Talent Trends report, 85% of talent professionals agree that ‘People Analytics ’ is very important to the future of recruiting and HR. Investing in people analytics is directly linked to gaining a clear commercial competitive advantage and ROI for organizations.

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Top Data Analytics Technology Trends 2022

DataFloq

Data Analytics and Digital investments have become more of a necessity than ever with organizations moving toward the work-from-home model and understanding the trends in big data and data analytics. Augmented Analytics. X-Analytics. Blockchain For Analytics.

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Importance of Data Analytics for Product Managers

DataFloq

Data analytics plays a major role in the success of product management. Often, product managers leverage data analytics to collect, analyze, and interpret data to make informed decisions. and use advanced analytics and product management tools to analyze it.

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Prevedere Provides Predictive Insights with Analytics and Planning

David Menninger's Analyst Perspectives

embedded analytics Analytics Business Intelligence AI & Machine LearningMarkets have been more volatile than ever.

Analytics 130
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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.

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Top 10 Guest Authors on Analytics Vidhya in 2022

Analytics Vidhya

The post Top 10 Guest Authors on Analytics Vidhya in 2022 appeared first on Analytics Vidhya. Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain.

Analytics 203
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How Data Analytics can help Identify Target Market?

DataFloq

It may surprise you that one of the answers is data analytics. With so much information available today, data analytics has become an integral part of decision-making for businesses. So what exactly is data analytics and how does it help businesses? What is Data Analytics?

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DataHour: Traversing Journey of an Analytics Problem

Analytics Vidhya

Overview on Analytics Problem Analytics Vidhya has long been at the forefront of imparting data science knowledge to its community. The post DataHour: Traversing Journey of an Analytics Problem appeared first on Analytics Vidhya.

Analytics 214
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Qlik Advances Self-Service Analytics and Business Intelligence

David Menninger's Analyst Perspectives

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. Analytics Business Intelligence Data Governance Data Management AI & Machine Learning Analytics & Data

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises poured $73 billion into data management software in 2020 – but are seeing very little return on their data investments. 22% of data leaders surveyed have fully realized ROI in the past two years, with 56% having no consistent way of measuring it.

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Introduction to Energy Analytics 101

Analytics Vidhya

The post Introduction to Energy Analytics 101 appeared first on Analytics Vidhya. Beginner Education Environmental Sector blogathon Energy Analytics machine learningThis article was published as a part of the Data Science Blogathon.

Analytics 198
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Working Across the Aisle in Analytics: Involving IT and LOB

David Menninger's Analyst Perspectives

In this perspective, we will look at some of the data from our Analytics and Data Benchmark Research about the roles of IT and line-of-business teams in analytics and data processes. Analytics Business Intelligence Data Digital Technology AI & Machine Learning Analytics & Data

Analytics 231
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Use External Data Platform to Improve Analytics

David Menninger's Analyst Perspectives

Analytics Business Intelligence Internet of Things Data Digital Technology AI and Machine Learning Streaming Data Streaming AnalyticsAccess to external data can provide a competitive advantage.

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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.

Analytics 252
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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures have evolved dramatically. It is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers.

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The Origin of Big Data Analytics

Analytics Vidhya

Business applications range from customer fraud detection to personalization with extensive data analytics dashboards. The post The Origin of Big Data Analytics appeared first on Analytics Vidhya. Beginner Big data big data analytics blogathon NoSQL

Big Data 189
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HQL COMMANDS FOR DATA ANALYTICS

Analytics Vidhya

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

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Data Science Use Cases in Forensic Analytics

DataFloq

Difference between Workforce analytics and HR analytics. Workforce Analytics is primarily concerned with talent management, with a particular emphasis on analyzing workforce data. HR Analytics looks into many aspects of the organization as a whole.

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The 6 Steps of Predictive Analytics

Analytics Vidhya

The post The 6 Steps of Predictive Analytics appeared first on Analytics Vidhya. Intermediate Libraries Machine Learning Model Deployment Python blogathon data collection Model deployment Model evaluation predictive analytics

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Top Considerations for Building an Open Cloud Data Lake

In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users.

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An examination of the analytics model and transformation from traditional analytics to AI analytics

DataFloq

The field of analytics has witnessed a paradigm shift and transformation in the last few years. What used to be data analytics in the past has now become AI Analytics. But AI Analytics is not a mere integration of data analytics with artificial intelligence.

Analytics 244
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Embed Analytics for Greater Reach and More Responsiveness

David Menninger's Analyst Perspectives

When I looked at the state of analytics recently , it was clear that analytics are not as widely deployed within organizations as they should be. embedded analytics Analytics Analytics & Data

Analytics 148
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The 2022 Market Agenda for Analytics: Enabling Actions and Effective Insights

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2022 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.

Marketing 229
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Sisu Optimizes Analytics with Machine Language for Actions & Decisions

David Menninger's Analyst Perspectives

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. embedded analytics Analytics Business Intelligence Collaboration Data AI and Machine Learning

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New Research: The State of Supply Chain Network Design in 2022

This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice.