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

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’

Predictive Analytics

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.’ Access to Flexible, Intuitive Predictive Modeling. Forecasting. Classification.

Predictive Analytics

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It’s simple!

Predictive Analytics

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. It includes a range of capabilities that enable enterprises to unlock the value of their data in new ways.

Data Science

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Enable end users with access to the predictive analytics.

Predictive Analytics

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 Automatic generation of models.

Prescriptive Analytics

Cloudera

JULY 18, 2018

Now organizations can reap all the benefits of having an enterprise data lake, in addition to an advanced analytics solution enabling them to put machine learning and AI into action at massive scale to improve health outcomes for individuals and entire populations alike.

Machine Learning

Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. BI tools leverage analytics and reporting, help the enterprise manage data and user access and plan for the future.

Marketing

IBM Big Data Hub

JULY 6, 2023

Some machine learning use cases Well-known companies using machine learning include social media platforms, which gather large amounts of data and then use a person’s previous behavior to forecast and predict their interests and desires.

Machine Learning

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.’ But to succeed, the enterprise must plan carefully. So, let’s get started.

Consulting

Jet Global

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Most companies that deploy BI and analytics lean to the left side of this model.

Analytics