CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Analytics, Data Science

Data mining 144

Data mining Data-driven Statistics OLAP 144

CDW Research Hub

SEPTEMBER 15, 2020

Data is a valuable asset that can help businesses reduce costs, make informed decisions, and better understand what their customers need. However, data can easily become useless if it is trapped in an outdated technology. Scale and Efficiency of the Cloud. Easy Access with a Secure Foundation. Need one-on-one support?

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

CIO Business Intelligence

OCTOBER 4, 2023

Careers, Certifications, IT Skills, Technology Industry AI skills more valuable than certifications There were a couple of stand-outs among those. The pattern was similar for certifications, with most volatile being data and databases (38% of skills changing in value) and application development and programming languages (35%).

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Deep Learning 135

BizAcuity

FEBRUARY 21, 2025

Many organizations face hurdles such as: Data migration challenges : Legacy systems often don’t sync easily with newer technologies, making data migration complex and time-consuming. Resistance to Change : Employees may hesitate to adopt new technology, especially if they are accustomed to existing systems.

Dashboards 52

Dashboards Optimization Finance Sales 52

CIO Business Intelligence

MAY 28, 2022

It is not always the newest technologies that pay the best. Among them, only TensorFlow and SRE fell.). Some of the fastest-rising pay premiums during the quarter were for knowledge of the venerable DB2 and Apache Sqoop, a command-line interface for loading Hadoop databases that ceased development last year.

IT 126

IT Prescriptive Analytics Deep Learning Big Data 126

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management. advanced analytics.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

MAY 26, 2022

It is not always the newest technologies that pay the best. Among them, only TensorFlow and SRE fell.). Some of the fastest-rising pay premiums during the quarter were for knowledge of the venerable DB2 and Apache Sqoop, a command-line interface for loading Hadoop databases that ceased development last year.

IT 98

IT Prescriptive Analytics Deep Learning Big Data 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.’

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. . At this stage, you will need to plan your business goal. And it can do the same for you.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Smarten

NOVEMBER 26, 2023

How Do We Define Business Intelligence Today? Business Intelligence (BI) is the lifeblood of an organization. As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Smarten

SEPTEMBER 9, 2024

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. The role of a citizen data scientist is played by a business user or team member within the organization. Who is a Citizen Data Scientist ?

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Jet Global

OCTOBER 9, 2024

According to a recent Forbes article, “the prescriptive analytics software market is estimated to grow from approximately $415M in 2014 to $1.1B These challenges underscore the need for thoughtful planning, resources, and governance when adopting real-time data analytics solutions.

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52

Smarten

SEPTEMBER 9, 2024

In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016. 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.’

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 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. ” It’s a really good partnership that we have together.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

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. 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 Sales 52

FineReport

APRIL 26, 2023

Value is the most important V for businesses, as it allows for the extraction of insights that could give organizations a competitive advantage. By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Why do Enterprises Need Big Data Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. How is data analytics used in the travel industry? They found people could easily learn the intuitive platform (giving them a faster time-to-use) while also supporting advanced analytics and the unique needs of data auditors.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102

Smarten

JUNE 2, 2017

Since it is the prerogative of a consultant to question and modify predominant jargon, I am hatting (yes, this too is an English word) …I am hatting myself in the hat of a consultant this morning, and I am questioning the application of the term “ Business Intelligence.” Is this Business Intelligence?

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. BI is a set of independent systems (technologies, processes, people, etc.)

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

DECEMBER 19, 2024

As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights. Heres how they did it.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

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 Analytics 52

TDAN

FEBRUARY 5, 2025

The world-renowned technology research firm Gartner first introduced the concept of the citizen data scientist in 2016. Gartner defines a citizen data scientist as a person who creates or generates models that leverage predictive or prescriptive analytics, but […]

Prescriptive Analytics 52

Prescriptive Analytics Modeling Technology Analytics 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.

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64

CIO Business Intelligence

FEBRUARY 13, 2025

Artificial intelligence (AI)-enabled systems are driving a new era of business transformation, revolutionizing industries through prescriptive analytics, personalized customer experiences and process automation. However, inflated costs and complex deployment may limit adoption for smaller businesses.

Risk 116

Risk Data-driven Finance Risk Management 116

CIO Business Intelligence

MAY 6, 2025

Prescriptive analytics: Moving from knowing to doing Prescriptive analytics answers the question: What should we do about it? This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 52