Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

BizAcuity

FEBRUARY 21, 2025

Every transaction, customer interaction, and operational process leaves a digital footprint. Hyper-personalization : AI-driven insights can analyze customer behavior, preferences, and past interactions to suggest the next best action. Businesses have never had access to more data than they do today. Final Thought: Will You Lead or Lag?

Dashboards 52

Dashboards Optimization Finance Sales 52

Rocket-Powered Data Science

JULY 14, 2023

Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance. These may not be high risk. They might actually be high-reward discoveries.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Cloudera

AUGUST 25, 2020

However, another type of analytics, called “prescriptive analytics”, involves simulation tools that look towards the future with a view of many potential scenarios. Prescriptive analytics provides decision-makers with thousands of potential future scenarios. To capture the importance of sequencing of events. .

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

Sisense

JUNE 30, 2020

The role of visualizations in analytics. Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

JULY 27, 2022

The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next. Prescriptive analytics to show how to achieve or prevent the prediction. Diagnostics to show why it happened.

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 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92

Cloudera

JULY 18, 2018

Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges. 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.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Smarten

JUNE 2, 2017

We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. Some prescriptive analytics based on known parameters were always a part of ERP or BI offering. So let us look at what entails BI now and what it will include in future. Is this Business Intelligence?

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

Sisense

OCTOBER 27, 2020

However, in order to truly digitally evolve, every company needs to start infusing data and analytics throughout the organization to streamline processes and decision-making. That’s where prescriptive analytics and assisted intelligence truly start changing how HR professionals do their jobs. Who benefits from people analytics?

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

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

Birst BI

OCTOBER 30, 2018

Consider all customer interactions and their data sources as potential sources for predicting future customer behavior. Richard is a veteran of the BI industry, having worked with analytics and data warehousing solutions from Business Objects, SAS, Teradata and SAP. Could it be an account balance change?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

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

Andrew White

JANUARY 11, 2021

The most important education/familiarity (as you ask it) in my view is to understand or be intrigued with how humans take decisions; a desire to learn how we think and behave; and a working knowledge for how a business outcome, process and data interact. Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Smarten

APRIL 11, 2018

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.’ What is a Citizen Data Scientist (Citizen Analyst)?

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Alation

AUGUST 26, 2021

Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Source: Introduction to Data Catalogs by Dave Wells.

Metadata 64

Metadata Data Governance Dashboards Software 64

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.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 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.

Risk 116

Risk Data-driven Finance Risk Management 116

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