Smart Data Collective

MARCH 3, 2021

Experienced lawyers can become proficient at predicting the outcome and duration, but that comes after many bad guesses that cost them money. Data analytics is popular in many industries for monitoring customer behavior and helps companies make informed decisions. The impact of predictive modelling on personal injury cases.

Analytics 133

Analytics Big Data Predictive Modeling Insurance 133

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Transforming data into value What is a data scientist?

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Optimization: Once trends have been identified and predictions made, simulation techniques can be used to test best-case scenarios.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smarten

MARCH 13, 2018

That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. Perks Associated with Big Data.

Big Data 145

Big Data Finance Risk Management Risk 145

CIO Business Intelligence

OCTOBER 2, 2024

Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. Raw data collected through IoT devices and networks serves as the foundation for urban intelligence.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. Geospatial Data Enrichment Example. Price Prediction Example. Spatial predictive modeling is applicable to a wide reach of industries because of the general availability of spatial data.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is The Difference Between Business Intelligence And Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

NOVEMBER 14, 2017

Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Leave it to the Software!

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

CIO Business Intelligence

DECEMBER 19, 2024

The tech professionals most in demand The most in-demand technical skills in the climate and greentech sector revolve around cloud computing, data analytics, IoT, and cybersecurity each playing a critical role in driving sustainable innovation, Breckenridge explains.

IT 52

IT IoT Machine Learning Optimization 52

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here.

Predictive Analytics 66

Predictive Analytics Forecasting Analytics Predictive Modeling 66

CIO Business Intelligence

DECEMBER 11, 2023

They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions. Learn more about how EXL can put generative AI to work for your business here.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This approach provides an automatic and objective strategy for decision making under defined assumptions about the data. This model for data analytics has proven highly successful in basic biomedical research and clinical trials.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

CIO Business Intelligence

JULY 28, 2022

That is backed up by a 2021 survey by industry analysts at Forrester, which showed that, of 2,329 data and analytics decision-makers worldwide, 55% want to hire data scientists. And machine learning engineers are being hired to design and build automated predictive models. Oshkosh Corp.,

Data Science 143

Data Science IT Machine Learning Data-driven 143

CIO Business Intelligence

APRIL 25, 2022

WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. Offerings include: a part-time and a full-time data science bootcamp, an AI engineering bootcamp, a part-time BI and data analytics bootcamp, and a data engineering bootcamp.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 69

Analytics Machine Learning Predictive Modeling Visualization 69

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Cloudera

AUGUST 4, 2021

While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective. In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Juice Analytics

MARCH 11, 2021

How are you going to turn that data into a solution? There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Predictive models to take descriptive data and attempt to tell the future.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

Smart Data Collective

SEPTEMBER 26, 2021

Data visualization enables you to: Make sense of the distributional characteristics of variables Easily identify data entry issues Choose suitable variables for data analysis Assess the outcome of predictive models Communicate the results to those interested.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Smart Data Collective

JULY 10, 2019

The market for big data analytics in healthcare is massive. We can look abroad to see the implicatinos of big data in the healthcare system. . With ‘big data’, the idea is to foster a culture of measurement in hospitals. What advantages does it offer in the realm of biomedical R&D?

Big Data 95

Big Data Measurement Predictive Modeling Manufacturing 95

CIO Business Intelligence

DECEMBER 13, 2022

Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation. Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 98

Strategy Technology Digital Transformation Data Lake 98

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

Smarten

NOVEMBER 22, 2019

In addition to these cultural changes, the enterprise must also look at technology with an eye toward integration of data and the implementation of tools that will make it easy for business users to join in the initiative.

Predictive Modeling 69

Predictive Modeling Data-driven Visualization Forecasting 69

Smarten

JUNE 8, 2023

Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions.

Optimization 69

Optimization Enterprise Business Intelligence Predictive Modeling 69

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. The models are practically useless. Oh, and by the way, you now have less time to make the decisions (see How to Manage Your Predictive Models During the Pandemic’s Rapid Changes ). Everything Changes. The answer is to think and look “wideward”.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

Smarten

MARCH 31, 2023

Whether you are a business analyst, a data scientist or a Citizen Data Scientist (a business user who uses analytics in day-to-day work), you probably struggle to manage and control your data analytics and may use multiple tools to gather, analyze and present that data. ‘It

Analytics 52

Analytics Predictive Modeling ROI Modeling 52

Smarten

OCTOBER 25, 2023

Mobile BI enables work-from-home initiatives, and makes your business users more productive with collaborative features, data sharing, and support for Citizen Data Scientists as they learn data analytics, and begin to innovate and create reports, presentations and analytical approaches and share that information with other users. ‘If

Visualization 69

Visualization Predictive Modeling Machine Learning Business Intelligence 69

IBM Big Data Hub

APRIL 1, 2024

Analyzing customer behavior for tailored product recommendations With the power of predictive analytics and GenAI, businesses can understand when specific customers are best suited for new products, receive suggestions for the appropriate products, and receive suggested next steps for engaging with the client.

Predictive Analytics 77

Predictive Analytics Sales Enterprise Predictive Modeling 77

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Tim Scannell: Data is a major focus of most IT organizations today — collecting it from a variety of sources, transforming it into business intelligence, getting it into the hands of the right people within the organization. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98