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.

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Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. Predictive analytics is an area of big data analysis that facilitates the identification of trends, exceptions and clusters of events, and all this allows forecasting future trends that affect the business. Prescriptive analytics.

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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. .

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IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

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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.

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AWS Big Data

FEBRUARY 20, 2024

An AWS account and access to the following AWS services: AWS Glue AWS Identity and Access Management (IAM) Amazon Redshift Amazon S3 Amazon Data Firehose Kinesis Data Generator setup: For Kinesis Data Generator setup instructions, refer to this blog.

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Smarten

JULY 30, 2024

Prescriptive analytics for regression models combines predictive modeling and optimization techniques to produce actionable recommendations for decision-making.

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BizAcuity

FEBRUARY 21, 2025

As AI becomes more sophisticated, its role in business intelligence will shift from reactive reporting to predictive and prescriptive analytics, empowering companies to make smarter, data-driven decisions that drive long-term growth. Final Thought: Will You Lead or Lag?

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CDW Research Hub

MARCH 22, 2019

The analytics solutions set the stage for better business outcomes by: providing a new level of data custody enabling analysis and reporting on critical information. establishing a foundation for future predictive and prescriptive analytics. empowering franchisees to use data for business decision-making, and.

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Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes.

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IBM Big Data Hub

JANUARY 25, 2024

Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? The post MRO spare parts optimization appeared first on IBM Blog. It can be if you rely on a spreadsheet, physical asset counts or solely on condition monitoring. Results may vary.

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BizAcuity

MARCH 8, 2019

Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way.

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Cloudera

FEBRUARY 4, 2019

Streaming Analytics – Analyze millions of streams of data in real-time using advanced techniques such as aggregations, time-based windowing, content-filtering etc., to generate key insights and actionable intelligence for predictive and prescriptive analytics.

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BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. Prescriptive Analytics: Prescriptive analytics is the most complex form of analytics.

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Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. 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.

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DataRobot Blog

MARCH 15, 2022

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population. Learn More.

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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.’

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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. For your business to thrive, you need to know what’s working, what’s not, and how to improve. That much is obvious. But figuring out how to go about it?

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IBM Big Data Hub

SEPTEMBER 30, 2022

Next, IBM Cognos Analytics with Watson is a trusted AI co-pilot for business decision-makers who want to improve the impact of their business function by empowering every user to turn data into insights, and rapidly make business decisions. You don’t want to miss out!

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CDW Research Hub

SEPTEMBER 15, 2020

They also aren’t built to integrate new technologies such as artificial intelligence and deep learning tools, which can move business to continuous intelligence and from predictive to prescriptive analytics. Easy Access with a Secure Foundation.

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Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. 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?

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Cloudera

MARCH 2, 2018

Achieve best possible outcomes for individuals through the application of prescriptive analytics. There are many possible use cases for prescriptive analytics in the development sector, particularly in health where we have much existing data on what works in light of specific risk factors.

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Cloudera

JULY 18, 2018

The combined solution is the right starting point for introducing machine learning and AI into clinical workflow and care delivery, enabling enterprises to take advantage of complete descriptive, predictive, and prescriptive analytic capabilities. Author: Ryan Swenson, Global Leader, Cloudera Healthcare and Life Sciences.

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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

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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.

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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.’ Why the focus on predictive analytics? It’s simple!

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IBM Big Data Hub

JANUARY 17, 2023

With this capability, not only can data-driven companies operationalize data science models on any cloud while instilling trust in AI outcomes, but they are also in a position to improve the ability to manage and govern the AI lifecycle to optimize business decisions with prescriptive analytics. Start a trial. AI governance.

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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.” This term has been around for some time and was popularized by Gartner.

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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.’

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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.’

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Jedox

JANUARY 29, 2019

Fifty percent of global fp&a teams are looking to implement predictive analytics by 2020*, and seventy-two percent rate “Predictive Forecasting and Planning” as either “very important or “important” for their company**. Predictive Analytics for Sales Forecasting. Making AI Real (Part 2).

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IBM Big Data Hub

JULY 6, 2023

Moreover, you’ll be able to manage and govern the AI lifecycle with MLOps , optimize business decisions with prescriptive analytics , and accelerate time to value with visual modeling tools. appeared first on IBM Blog.

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Smarten

NOVEMBER 26, 2023

Modern Business Intelligence (BI) Modern business intelligence (BI) tools focus on helping users easily access and share data, and giving them the ability to use data to drive intelligent action, and to achieve real-world results.

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Alation

MARCH 21, 2023

How is data analytics used in the travel industry? The travel and tourism industry can use predictive, descriptive, and prescriptive analytics to make data-driven decisions that ultimately enhance revenue, mitigate risk, and increase efficiencies. Curious to see Alation in action?

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Sisense

JULY 22, 2020

A lot of the things we’re doing with our Knowledge Graph and a lot of the features we’ve released and have planned as part of our roadmap will start getting people out of just descriptive and taking them to those next two steps of predictive and prescriptive analytics.

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Alation

AUGUST 26, 2021

Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Subscribe to Alation's Blog. DI sorts wheat from chaff, spotlighting the most trusted assets for wider use, and speeding up operational efficiencies in the process.

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DataRobot Blog

NOVEMBER 12, 2019

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. Read More.

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