Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. There are many benefits to data analytics.

Data Analytics 97

Data Analytics Analytics Big Data Data Lake 97

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 67

Analytics Predictive Modeling Machine Learning Visualization 67

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

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. This can cause certain business problems with both your data points as well as your data analytics, web analytics , and response variable.

Predictive Analytics 118

Predictive Analytics Analytics Predictive Modeling Data mining 118

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 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

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 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

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 125

Analytics Big Data Predictive Modeling Insurance 125

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 98

Finance Forecasting IoT Predictive Modeling 98

Smarten

MAY 29, 2023

The ability to create, share and use unlimited predictive model objects. Advanced data preparation. Automatic generation of models. Assisted workflow using assisted predictive modeling. The ability to import PMML models created in third-party platforms for use in workflow.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

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 82

Predictive Analytics Sales Enterprise Predictive Modeling 82

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 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 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

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

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 139

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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 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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 139

Data Science Statistics Machine Learning Visualization 139

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.

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Predictive Analytics Forecasting Analytics Predictive Modeling 65

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 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 97

Strategy Technology Digital Transformation Data Lake 97

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

Smarten

FEBRUARY 14, 2019

Can Citizen Data Scientists Support Advanced Analytical Needs? With the right augmented data discovery tools that are suitable for business users but sophisticated enough to produce professional-level results, the organization can get what it needs without hiring teams of analysts, data scientists and IT professionals.

Analytics 40

Analytics Predictive Modeling Business Intelligence Visualization 40

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

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 67

Predictive Modeling Data-driven Forecasting Visualization 67

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

BizAcuity

JULY 13, 2021

Garnering over more than 6 decades of gaming intelligence experience of our founding team and using advanced technologies like AI & machine learning have a custom-built gaming accelerator platform that provides both visualization and data analytics. Data Enrichment/Data Warehouse Layer. Data Analytics Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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

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.

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Smarten

NOVEMBER 8, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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 Modeling 145

Sisense

AUGUST 11, 2019

BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance. BA primarily predicts what will happen in the future. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

Cloudera

DECEMBER 9, 2020

The sheer size of Globe Telecom’s operations, and its mission to transform the lives of people, business, and communities through innovative solutions, sees it processing immense volumes of data daily. This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 72

Predictive Modeling Data Warehouse Enterprise Management 72

Cloudera

MAY 12, 2021

Winners included: Connect the Data Lifecycle: Globe Telecom — Raising experience standards and helping customers live enhanced mobile lifestyles. Data Champions: OVO (PT Visionet Internasional) — Using advanced, intelligent data analytics and machine learning to increase customer conversion rates.

Digital Transformation 69

Digital Transformation Machine Learning Optimization Data Lake 69

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. All models are not made equal. At this stage, data scientists begin writing code for computation and model-building.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 69

Big Data Measurement Predictive Modeling Manufacturing 69

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Smarten

JANUARY 8, 2019

Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they are analyzing.

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40