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

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

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. Team members can bridge the gap of data science skills so they don’t have to wait for IT or data scientists to help them produce a report or perform analytics.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

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. from 2022 to 2028.

Predictive Analytics 134

Predictive Analytics Analytics Predictive Modeling Forecasting 134

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

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

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit.

Business Analytics 120

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 120

Smarten

OCTOBER 25, 2023

Mobile Analytics Features Are Key to Productivity and Decision-Making! Analytics Insight reports that there are some important factors to consider when you look for a Business Intelligence or Augmented Analytics solution.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

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 86

Finance Forecasting IoT Predictive Modeling 86

Smarten

JUNE 22, 2022

‘When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach.’. But how does an organization encourage the use of data analytics and help business users to become more comfortable with the use of data?

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. 5) Find improvement opportunities through predictions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

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. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

MAY 30, 2023

You will achieve seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs. Integrate objects (Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, models, Clickless Analytics and more).’

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

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

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 135

Data Science Statistics Machine Learning Visualization 135

Juice Analytics

MARCH 11, 2021

A successful data product lies at the intersection of the three circles in the following Venn diagram: Your customer’s pain point, an urgent problem they want to solve; The characteristics of your data which can be brought together to solve that problem; The capabilities you have to enhance the value of the data to make it as useful as possible.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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

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

Smarten

FEBRUARY 13, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Analytics 52

Analytics Key Performance Indicator Business Intelligence ROI 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

CIO Business Intelligence

APRIL 25, 2022

Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typically focus on analyzing, collecting, and interpreting large datasets to help guide business decisions. The data analyst bootcamp is a seven-month, online, part-time course.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Smarten

JULY 31, 2019

By offering recommendations and options, the team will begin to consider other possibilities and, as the data foundation is created, the argument for ‘going with your gut’ will fade. Many organizations depend on the vision of one individual or a small team of executives who have market or industry experience.

Predictive Modeling 40

Predictive Modeling Metrics Measurement ROI 40

CIO Business Intelligence

JULY 28, 2022

Recent research from industry analyst firm IDC showed that there are 210,000 data science jobs listed on LinkedIn. The research report also noted that top enterprises, such as Deloitte, Amazon and Microsoft, are looking to fill a wide spectrum of technical jobs but data science far outweighs all other roles. Oshkosh Corp.,

Data Science 143

Data Science IT Machine Learning Data-driven 143

IBM Big Data Hub

MAY 17, 2024

According to a recent report from the IBM Institute for Business Value , half of CEOs are integrating generative AI into products and services. A report from the IBM Institute of Business Value found that there’s enormous room for improvement in the customer experience.

B2B 66

B2B Interactive Optimization Forecasting 66

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

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 142

Deep Learning Machine Learning Modeling Software 142

Cloudera

MAY 12, 2021

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

datapine

DECEMBER 4, 2019

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Augmented Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 71

Predictive Modeling Data Warehouse Enterprise Data Strategy 71

Smarten

AUGUST 22, 2023

When considering the value of this type of initiative, it is worth noting that Gartner sees ‘a positive relationship between the level of analytics BI adoption…and achieved business benefits.’ The team member need not be an IT professional, a data scientist, or a business analyst.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

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

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