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

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient. It makes data preparation faster.

Business Analytics 133

Business Analytics Analytics Unstructured Data Data-driven 133

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smarten

MARCH 7, 2024

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too! While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

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 120

Business Analytics Analytics Forecasting Business Analysis 120

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 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. Heatmaps are powerful visual tools help show where website visitors pay the most attention.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

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

Smart Data Collective

JULY 24, 2023

Analytics technology has been a huge gamechanger for the sports industry. billion on analytics last year. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings.

Analytics Technologies 76

Analytics Technologies Marketing Technology Analytics 76

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

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Check out our list of top big data and data analytics certifications.) Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 138

Machine Learning Forecasting Predictive Analytics Marketing 138

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 Cost-Benefit Dashboards Sales 207

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 71

Data Analytics Analytics Predictive Analytics Insurance 71

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. Forecasting models. It features support for creating and visualizing decision tree–driven customer interaction flows.

Data mining 139

Data mining Data-driven Statistics OLAP 139

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. Your Chance: Want to visualize & track warehouse KPIs with ease? Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs?

Metrics 217

Metrics KPI Management Cost-Benefit 217

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. 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

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

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

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

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

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Jedox

FEBRUARY 13, 2020

For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. Data management and data integration as the basis for advanced analytics. Automated sales forecast at Mitsui.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. 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.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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 83

Key Performance Indicator Forecasting Data Integration Sales 83

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

CIO Business Intelligence

JULY 20, 2023

From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027. From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 75

Technology Forecasting Advertising Machine Learning 75

datapine

JUNE 5, 2019

Exclusive Bonus Content: Ready to make analytics straightforward? Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual.

Dashboards 316

Dashboards KPI Sales Visualization 316

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

Smart Data Collective

SEPTEMBER 13, 2021

This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. Value investors can use this data to forecast how different markets are going to develop and confirm the stability of the assets of the company. Concentrated and Slow. Broad and Slow.

Big Data 106

Big Data Forecasting Cost-Benefit Machine Learning 106

Sisense

AUGUST 14, 2020

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. Predicting Return Rates On New Products. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

SEPTEMBER 17, 2019

With the right Advanced Analytics Tools , business users can have access to data integrated from disparate data sources and can use that date for Advanced Data Discovery so they can gain insight into problems and opportunities, share information with other users and be more productive, empowered and accountable.

Predictive Analytics 51

Predictive Analytics Forecasting Visualization Data Integration 51