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. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 128

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 128

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 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

FineReport

JUNE 7, 2024

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

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. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 136

Risk Management Risk Cost-Benefit Technology 136

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 95

Finance Forecasting IoT Predictive Modeling 95

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

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 141

Big Data Finance Risk Management Risk 141

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. Maintenance Management.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products.

Predictive Analytics 78

Predictive Analytics Sales Enterprise Predictive Modeling 78

CIO Business Intelligence

APRIL 25, 2022

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. The curriculum of each bootcamp is designed by data scientists and industry hiring managers and partners. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

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

CIO Business Intelligence

DECEMBER 13, 2022

Our digital transformation strategy is centered around establishing a consumer-oriented model that helps us customize chronic care management based on the ever-changing conditions of each patient.” Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 96

Strategy Technology Digital Transformation Data Lake 96

Juice Analytics

MARCH 11, 2021

Without this focus, a data product comes in the form of a massive 100-page PowerPoint deck or a collection of raw data tables. There may be value in the data, but it is clear the product manager hasn’t thought deeply about their customers and what the data can do to solve their problems.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 65

B2B Interactive Optimization Forecasting 65

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

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

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 74

Predictive Modeling Data Warehouse Enterprise Data Strategy 74

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

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. . Challenges of using big data in healthcare.

Big Data 71

Big Data Measurement Predictive Modeling Manufacturing 71

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. Winners included: Connect the Data Lifecycle: Globe Telecom — Raising experience standards and helping customers live enhanced mobile lifestyles. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Domino Data Lab

OCTOBER 7, 2020

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research.

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

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

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 54

Machine Learning Data Science Statistics Deep Learning 54

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

FEBRUARY 14, 2024

AIOps platform solutions also consolidate data from multiple sources and correlate events into incidents, granting clear visibility into the entire IT environment through dynamic infrastructure visualizations, integrated AI capabilities and suggested remediation actions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Decision Management Solutions

NOVEMBER 13, 2018

38% of those surveyed cited a failure to integrate analytics into workflows and frontline systems. This was the leading obstacle to high impact analytics, outscoring even poor data quality or a lack of strategic support or alignment. This framework has three elements: Begin with decisions, not with data.

Insurance 40

Insurance Analytics Modeling Visualization 40

BizAcuity

APRIL 25, 2022

Casinos have to continuously work on the game mix such that they are able to generate ROI while managing player win expectations. Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. Data fuels a digital casino marketing strategy.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Smarten

DECEMBER 3, 2023

Involve your business users, management team, IT team and stakeholders (suppliers, customers, etc.) Perhaps you want to shift from a data warehouse to cloud storage. If you choose the right self service data analytics tools with the right self service analytics capabilities, you can avoid a cumbersome, long training schedule.

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

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 Deep Learning 167

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 57

Analytics Predictive Modeling KPI Machine Learning 57

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

Smart Data Collective

SEPTEMBER 26, 2021

Attention needs to be paid to the fact that it’s not always possible to archive or analyze all the data that’s being produced. Nonetheless, you must invest time and effort into extracting the best possible value from the data sets. It doesn’t matter if you use graphs or charts, you need to get better at data visualization.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98