Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. In the coming years they are more likely to become a part of enterprise solutions. Automation & Augmented Analytics. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. This shows why self-service BI is on the rise. SAP Lumira.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

IBM Big Data Hub

JULY 27, 2022

Today, most enterprises use services from more than one Cloud Service Provider (CSP). IT is a critical part of every enterprise today, and even a small service outage directly affects the top line. Predictive analytics to show what will happen next. Prescriptive analytics to show how to achieve or prevent the prediction.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Cloudera

JULY 18, 2018

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. Actionable healthcare analytics that allows organizations to conduct real-time “what if scenarios” against predictive models.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Sisense

OCTOBER 27, 2020

Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change! That’s where prescriptive analytics and assisted intelligence truly start changing how HR professionals do their jobs.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

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 This way when you reach out to a customer, you can see all customer notes so make your interaction more personalized. in 2019, attaining a 22 percent compound annual growth rate.”

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52

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

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. Consider all customer interactions and their data sources as potential sources for predicting future customer behavior. Could it be an account balance change? Could it be a number of calls to the call center?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? Some organizations empower its end users with interactive dashboards. Do you want to be more efficient? Find a bottleneck in R&D?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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)?

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Alation

AUGUST 26, 2021

For years, analysts in enterprises had struggled to find the data they needed to build reports. How people use data across an enterprise forms a kind of energy: this is the animating spirit of that organization’s unique data intelligence. As data collection and volume surges, enterprises are inundated in both data and its metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

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. Why do Enterprises Need Big Data Tools? Offers interactive and shared dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

MAY 5, 2025

Under Khares direction, Oshkosh has categorized AI use into four buckets: Automation of human tasks; machine and human interaction; predictive and prescriptive analytics; and content generation and summarization. Now we can automate that entire process in seconds. To date, the firm has achieved milestones in each of these areas.

Digital Transformation 52

Digital Transformation Experimentation Strategy Prescriptive Analytics 52

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 52

Consulting Cost-Benefit Data Science Business Intelligence 52

CIO Business Intelligence

APRIL 9, 2025

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.

Enterprise 102

Enterprise Analytics Experimentation Machine Learning 102

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. CDO Success Factors: Culture Hacks to Create a Data-Driven Enterprise.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

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. Issues like hallucinations and malicious prompt injections threaten enterprises reliant on AI-generated content.

Risk 116

Risk Data-driven Finance Risk Management 116