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 134

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 134

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 121

Business Analytics Analytics Forecasting Business Analysis 121

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 134

Data Analytics Diagnostic Analytics Management Analytics 134

Smarten

APRIL 17, 2018

Assistive Predictive Modeling allows business users to leverage a self-serve advanced analytical tool and to enjoy complex, sophisticated forecasting and business predictions in a simple, user-friendly dashboard environment – all without the skills of an analyst, data scientist or IT professional.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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. To help you get started with the topic, we put together this insightful guide on modern performance reporting using professional online dashboards.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. Predictive analytics models became more accurate as they were based on trustworthy data flows.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Among the many strategies and technologies organizations use to keep these costs at a minimum, predictive analytics is one of the most effective ones.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Jet Global

MAY 1, 2020

Analytics in the finance function has been top of mind for CFOs for many years. Yet despite the column inches devoted to the importance of analytics, and the wide choice of supporting tools and technologies, insight, the pinnacle of analytic effort, remains stubbornly elusive. Helpfully, the research sheds light on this too.

Finance 78

Finance Analytics Forecasting Reporting 78

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Descriptive Analytics is used to determine “what happened and why.” What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. ERP dashboards. Forecasting models. Dashboards and other user interfaces that allow users to interact with and view results.

Data mining 140

Data mining Data-driven Statistics OLAP 140

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

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

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

SEPTEMBER 11, 2017

Plug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. But, if you get the right Advanced Analytics Tools , you don’t have to worry about all of that because the tool will do the work for you.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

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 76

Key Performance Indicator Forecasting Sales Data Integration 76

Jedox

SEPTEMBER 10, 2020

Reinventing for dynamic forecasting. Now, CFOs must go further with dynamic forecasting. For dynamic forecasting to work effectively, CFOs need a scenario and modeling platform that supports real-time data updates. Instead of only tracking to an outdated budget, driver-based scenario forecasts become a primary tool.

Forecasting 69

Forecasting Dashboards Measurement Risk 69

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. Reporting – data warehousing & dashboarding. Predictive Analytics – AI & machine learning. The ML Challenge.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

SEPTEMBER 5, 2023

It could allow analytics to become even more predictive by using data in AI algorithms to identify trends and patterns long before they become obvious. As a result, they’ve been able to generate 2,200 forecasts for 628 trucking lanes sampled from six U.S. The potential of ERP systems powered by AI is huge.

Technology 96

Technology Predictive Modeling Predictive Analytics Forecasting 96

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Let’s get started. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

FineReport

APRIL 9, 2024

By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making. The seamless integration of healthcare analytics empowers providers to extract actionable insights from complex datasets, thereby facilitating evidence-based decision support systems.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

OCTOBER 21, 2020

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. 1) Patients Predictions For Improved Staffing.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Jedox

MARCH 27, 2019

It also releases new world of planning capabilities – from workflow and collaboration to advanced and predictive analytics. Visual dashboards also provide busy managers clear answers to key questions whenever they need it. Sales planning and unlimited flexibility. Ready for Plan B (and C and D…).

Sales 47

Sales Predictive Analytics Software Forecasting 47

Smart Data Collective

APRIL 22, 2020

Whether to help us mount a defense, adjust our personal habits or anticipate where the disease will take the heaviest toll, each of the following risk factors plays a role in analytical models : Age, location and socioeconomic status. Successfully “predicting life and death” has taken on a new and urgent importance.

Big Data 110

Big Data Machine Learning Risk Interactive 110

datapine

JANUARY 18, 2023

In addition, we will see how online dashboards have overthrown the static nature of classic reports and given way to a much faster, more interactive way of working with 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

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

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Birst BI

AUGUST 23, 2018

Machine learning has been part of the Birst platform from day one to automate the most complex analytic processes and accelerate the time to insight. Leverage analytic ready data sets in Birst with the ability to do additional self-service data blending in Birst Pronto. Connect R Studio to a cleaned dataset in Birst.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73