datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

JUNE 16, 2022

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization’s initiatives. They are using analytics to help drive business growth.

Business Analytics 122

Business Analytics Analytics Forecasting Business Analysis 122

Smart Data Collective

NOVEMBER 7, 2019

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention.

Predictive Analytics 47

Predictive Analytics Analytics Cost-Benefit Risk 47

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 120

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 120

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smarten

DECEMBER 3, 2023

What is Augmented Analytics and How Has it Evolved? Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

Decision Management Solutions

JULY 8, 2020

Some years ago we did some research on the landscape of analytics capabilities. While there seem to be as many reasons for adopting analytic capabilities as there are organizations adopting analytics, the reality is that three key business needs are driving analytic adoption – reporting, monitoring and deciding: Reporting.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections. Forecasting uncertainty at Airbnb.

Uncertainty 205

Uncertainty Forecasting Data-driven Machine Learning 205

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? In a previous study into big data examples in real life, we explored how the catering industry could benefit from the use of restaurants analytics – a topic that we’re going to delve deeper into here. What Are Restaurant Analytics?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smart Data Collective

JULY 9, 2021

Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing? Data analytics helps companies match the right employees or applicants with the right responsibilities.

Data Analytics 127

Data Analytics Management Analytics Big Data 127

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Enhance counterparty risk assessment.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

datapine

JANUARY 18, 2023

Analytical Reports This report type contains a mix of useful information to facilitate the decision-making process through a mix of qualitative and quantitative insights as well as real-time and historical data. With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition.

Reporting 201

Reporting Metrics Dashboards Visualization 201

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.

Strategy 83

Strategy Management Forecasting Cost-Benefit 83

datapine

JUNE 15, 2023

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. A performance report is an analytical tool that offers a visual overview of how a business is performing in a specific strategy, project, or department.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

Smart Data Collective

MARCH 29, 2021

These are unprecedented times for the analytics industry. If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Get started by focusing on these four insights and metrics.

Marketing 123

Marketing Metrics Descriptive Analytics Predictive Analytics 123

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies. These are some of the reasons data analytics is driving major advances in marketing.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

IBM Big Data Hub

JUNE 8, 2023

Companies with a modern data architecture and robust BI adoption not only gain immediate competitive advantage, they are positioned to move even further ahead by adopting real-time decisioning practices and predictive analytics, the next steps in digital transformation.

Business Intelligence 63

Business Intelligence Enterprise Dashboards Digital Transformation 63

Smart Data Collective

JUNE 29, 2022

Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications. Interpreting data to generate valuable insights on analytics for consumers can help users improve their financial habits and achieve their financial goals easily. Predictive Analytics. Success Metrics.

Cost-Benefit 86

Cost-Benefit Predictive Analytics Finance Forecasting 86

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Why is data analytics important for travel organizations? Today, modern travel and tourism thrive on data.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

BizAcuity

FEBRUARY 15, 2019

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics in Event Industry – A Perspective View.

Sales 67

Sales Analytics B2B ROI 67

Alation

JANUARY 27, 2022

Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics? Data analytics is a way to make sense of raw data.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

datapine

JANUARY 21, 2020

Financial analytics can be kept under control with its numerous features that can remove complexities and establish a healthy and holistic overview of all the financial information a company manages. The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 1, 2024

Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Forrester Research predicts that the embedded analytics market will hit $16 billion in 2024. As technology advances, so do user expectations.

Analytics 52

Analytics Dashboards Reporting Marketing 52

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 77

Key Performance Indicator Forecasting Data Integration Sales 77

Jet Global

JANUARY 7, 2021

One of the most common use cases for BI dashboards involves tracking sales revenue and pipeline opportunities against the forecast. That is often presented alongside other key customer metrics such as returns, on-time deliveries, and so on. Why Use a BI Dashboard? This is where dashboard visualizations can be especially useful.

Dashboards 98

Dashboards Key Performance Indicator Metrics Business Intelligence 98

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smarten

JULY 13, 2022

There has been a lot of press about the concept of Data Democratization and the resulting improvement in data literacy across the enterprise and yet, many businesses still see this democratization effort as restricted to middle managers or to the use of analytics within the four walls of the headquarters or regional offices of the enterprise.

Sales 76

Sales Predictive Analytics Measurement Reporting 76

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. What is Big Data Analytics Software? Big Business Needs Big Data. Think of it as a historian, fortune teller, and advisor all in one.

Big Data 75

Big Data Software Data Analytics Analytics 75

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Predictive analytics can foretell a breakdown before it happens. Intel® Technologies Move Analytics Forward. Just starting out with analytics? billion by 2030.

Manufacturing 94

Manufacturing Digital Transformation Predictive Analytics Strategy 94