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. Commonly used models include: Statistical models. Clinical DSS. These systems help clinicians diagnose their patients.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Rocket-Powered Data Science

MARCH 10, 2020

I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Graph Algorithms book. Any omissions, errors, or viewpoints in the piece below are entirely my own.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

OCTOBER 14, 2019

They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making. Statistics, qualitative analysis and quant are some of the backbones of big data. From the tech industry to retail and finance, big data is encompassing the world as we know it. Apache Spark.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

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. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

JULY 30, 2024

Prescriptive analytics for regression models combines predictive modeling and optimization techniques to produce actionable recommendations for decision-making. Leverage the essential components of Augmented Analytics and improve decision-making and outcomes.

Predictive Analytics 64

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 64

Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Data Governance.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CDW Research Hub

MARCH 22, 2019

By implementing a full complement of IBM Analytics solutions, and integrating IBM Cognos Analytics with the client’s Salesforce CRM solution, the client gained deeper insights into its customers. establishing a foundation for future predictive and prescriptive analytics. The integration of the Cognos environment with.

Data Warehouse 66

Data Warehouse Prescriptive Analytics Statistics Big Data 66

FineReport

MARCH 2, 2021

At first glance, reports and analytics may look similar – lots of charts, graphs, trend lines, tables, statistics derived from data. Reports VS Analytics. Definitions : Reporting vs Analytics. Analytics describes the process of obtaining valuable business insights by investigating and interpreting the organized data.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

FineReport

JULY 28, 2021

It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Descriptive Statistics. Trends and Patterns. Forecasting. Classification. Hypothesis Testing. Correlation.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

JANUARY 25, 2024

Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? However, recent disruptions in the global supply chain, due to the pandemic and geo-specific issues, have caught many off guard. Now, consider the just-in-case approach.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Data Science 52

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Smarten

JANUARY 18, 2023

Gartner defines a citizen data scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ Include Citizen Data Scientists in Your Continuous Improvement Program and Make it Happen!

Key Performance Indicator 52

Key Performance Indicator Prescriptive Analytics Business Objectives Measurement 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. What is machine learning?

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Jedox

JULY 31, 2018

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Smarten

FEBRUARY 16, 2023

Gartner says that a Citizen Data Scientist is “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.” Taking on the Citizen Data Scientist Role: What’s in it for Me?

Prescriptive Analytics 52

Prescriptive Analytics Statistics Metrics Consulting 52

Smarten

FEBRUARY 27, 2020

The goal of enabling Citizen Data Scientists is to optimize business decisions and the time of data scientists so that business users can confidently leverage advanced analytics tools to make decisions and data scientists can focus on more critical, strategic activities.

Analytics 52

Analytics Prescriptive Analytics Statistics Optimization 52

Smarten

FEBRUARY 11, 2019

This role is known as an ‘ Analytics Translator ’. Analytics Translators bridge the gap between IT, data scientists and business users, and move initiatives forward by acting as a liaison and topic expert to help the organization focus on the right things to achieve its goals.

Analytics 40

Analytics Prescriptive Analytics ROI Statistics 40

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Cloudera

MARCH 2, 2018

On the program side, teams largely tend to use descriptive analytics – statistical techniques that provide insight into the past and answer: “What has happened?” – on survey data, sometimes complemented by samples from larger raw datasets, e.g. Facebook posts or tweets. In many settings this is the best information available.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

Birst BI

OCTOBER 30, 2018

As every company is using descriptive analytics with application data, the competitive edge gained by doing historical analysis has essentially disappeared. An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. The foundation of predictive analytics is based on probabilities.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

FineReport

MARCH 24, 2024

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

JULY 22, 2020

She recently spoke with SearchBusinessAnalytics about her vision for the Sisense platform and what it’s like being one of the few women helping shape software development at a major business intelligence and analytics vendor. SBA: As you come to Sisense, what is your vision for where the analytics platform will be in two or three years?

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

Smarten

APRIL 11, 2018

This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion regarding the distinction between this role and the newly minted Citizen Data Scientist or Citizen Analyst , there are some subtle but important differences. What is a Citizen Data Scientist (Citizen Analyst)? The answer is, YES!

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Smarten

SEPTEMBER 9, 2024

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ Since then, the idea has grown in popularity. So, let’s get started. What are Citizen Analysts?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. On January 4th I had the pleasure of hosting a webinar. It really does. Does this promote efficiency?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 9, 2025

One of the most fundamental tenets of statistical methods in the last century has focused on correlation to determine causation. For example, an analytics dashboard that correlates shipping data gaps in a logistics view could be correlated to quantities released for distribution in a warehouse.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. We hope this guide will transform how you build value for your products with embedded analytics. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

TDAN

APRIL 2, 2025

In 2016, the technology research firmGartnercoined the term citizen data scientist, defining it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 52

Prescriptive Analytics Statistics Modeling Technology 52

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. What Does a Citizen Data Scientist Do?

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64