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.

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.

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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

Alteryx Tackles Analytics Ops

David Menninger's Analyst Perspectives

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data.

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.

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

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.

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

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.

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.

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.

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.

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

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.

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.

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.

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

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.

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

How To Choose The Best Data Analytics Platform For Startups?

DataFloq

Accessibility problems are no longer a valid excuse for not making use of the potential of analytics now that there are various solutions for data analysis available on the market. How to choose the most effective data analytics platform for your firm. Data Driven Mobility Analytics.

Pandas Profiling – A Visual Analytics Wonder

Analytics Vidhya

The post Pandas Profiling – A Visual Analytics Wonder appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Palantir Operationalizes Analytics and Data for Actions and Decisions

David Menninger's Analyst Perspectives

embedded analytics Analytics Business Intelligence Internet of Things Streaming Analytics AI & Machine LearningOrganizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions.

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.

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.

Decoding Analytics In The E-Commerce Industry

DataFloq

E-commerce analytics help online sellers to figure out, in advance, what customers are likely to buy and how to price products so that profits can be maximized. Along with the features above, the benefits of e-commerce analytics include the following: Helps in building a robust supply chain.

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 Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job

Analytics Vidhya

The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya. Analytics Vidhya Announcement Career Data Science Analytics Artificial Intelligence Data Engineering data science JOB-A-THON machine learning

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.

The DataHour: Hands-on with Social Network Analytics

Analytics Vidhya

The post The DataHour: Hands-on with Social Network Analytics appeared first on Analytics Vidhya. Analytics Vidhya Announcement SNA Social network analytics The DataHour Videos webinar seriesDear Readers, Are you ready to brush up on your data science skills?

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.

Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.

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.

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?

Expanding the Analytics Continuum: From Analysis to Action

David Menninger's Analyst Perspectives

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

Data Socialization Next Big Things in Data Analytics

DataFloq

Data Socialization is Valuable for Marketing Analytics. And using the online community data, a business can practice it with data analytics solutions. Using Analytics for Social Data. Thus, a business must apply data analytics methods to achieve reliable insights.

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

Population Health Analytics with AWS HealthLake and QuickSight

Analytics Vidhya

The post Population Health Analytics with AWS HealthLake and QuickSight appeared first on Analytics Vidhya. Advanced Artificial Intelligence AWS Healthcare Python AI healthcare blogathon data analytics Healthlake Quicksight

The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today's data-driven applications. And they won’t cut it for your end users, your development team, or your business. Learn how 5 companies used embedded analytics to achieve huge returns and greater value than anticipated.

American Airlines takes flight with analytics transformation

CIO

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. Analytics, Digital Transformation, Travel and Hospitality Industry

AtScale Universal Semantic Layer Democratizes and Scales Analytics

David Menninger's Analyst Perspectives

Migrating to the cloud does not solve the problems associated with performing analytics and business intelligence on data stored in disparate systems. Our Analytics and Data Benchmark Research shows that organizations have concerns about current analytics and BI technology.

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

Predictive Analytics Business Use Cases Ensure Results!

Smarten

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive Analytics Using External Data.

The Definitive Guide to Predictive Analytics

By embedding predictive analytics, you can future-proof your application and give users sophisticated insights. The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges.