CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists. Oshkosh Corp.,

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CIO Business Intelligence

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. Check out our list of top big data and data analytics certifications.) Not finding what you’re looking for?

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. 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.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

MARCH 13, 2018

Can your BI tool satisfy the needs of business users, data scientists and IT staff? Plug and Play Predictive Analysis enables analysis of customer churn and acquisition, cross-sales and other opportunities, price points for new products, distribution channels, customer loyalty programs, and more.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

Smarten

MAY 17, 2024

When an enterprise undertakes an Augmented Analytics project, it is typically doing so because it wishes to initiate data democratization, improve data literacy among its team members and create Citizen Data Scientists. There are many reasons for this growing popularity.

Analytics 52

Analytics Predictive Modeling ROI Cost-Benefit 52

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. In the early days of the current data analytics revolution, one would often hear business owners say that they need their data to move at the speed of business. However, we are not into clear sailing just yet in the sea of data.

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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

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. Instead, the user will simply select the dataset to be analyzed.

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. 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.

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Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Cloudera

MAY 30, 2024

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Support for Modern Analytics Workloads : With support for both SQL-based querying and advanced analytics frameworks (e.g.,

Data Lake 63

Data Lake Analytics Data Warehouse Machine Learning 63

Smarten

APRIL 19, 2024

In this article, we will discuss the current state of AI in analytics, as well as the future of this burgeoning industry and how it can be applied to analytics to simplify and clarify results and to make analytics easier for businesses and business users to leverage. This is the most talked-about offering on the market today.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

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

Business Analytics 130

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 130

Smart Data Collective

MARCH 3, 2021

The legal sector is still in its infancy when it comes to big data and analytics. Lawyers and law experts are trying to figure it out, and consternation continues to shadow some corners because not everyone can quite understand what analytics is and how it can improve the personal injury law industry.

Analytics 126

Analytics Big Data Predictive Modeling Insurance 126

Smarten

JULY 13, 2023

If your business is considering the Citizen Data Scientist approach, and wishes to democratize data and cascade the use of analytics across the organization, it is important to engage business users and show them how they can use analytics to make their job and role easier.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

CIO Business Intelligence

DECEMBER 11, 2023

It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 98

Finance Forecasting IoT Predictive Modeling 98

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 137

Risk Management Risk Cost-Benefit Technology 137

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

JUNE 22, 2022

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

Smarten

MAY 29, 2023

‘If you can take the guesswork and data science skills requirement out of the analytical process, your Citizen Data Scientists will thrive and your organization will get the most out of its commitment to self-serve augmented analytics and digital transformation (Dx).’ Advanced data preparation.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Smarten

MARCH 13, 2024

If you are an IT professional, a business manager or an executive, you have probably been following the progress of the Citizen Data Scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. ’ So, how is it going?

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

OCTOBER 25, 2023

Among the top considerations: Self-Service BI Collaborative Features Mobile BI Data Visualization Citizen Data Scientist Support Augmented Analytics If you are looking for the right BI tools or augmented analytics and data discovery solution, be sure to consider the mobility of the solution, and its ease-of-use and ease-of-access.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

IBM Big Data Hub

APRIL 1, 2024

GenAI technologies can survey publicly available sources, such as press releases, to collect competitor data and compare the current product mix to competitor offerings. Through IBM® watsonx.ai™, various industry-leading models are available for different types of summarization.

Predictive Analytics 80

Predictive Analytics Sales Enterprise Predictive Modeling 80

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 2) Data Discovery/Visualization.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

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

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

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. A Light Gradient Boosted Trees Regressor with Early Stopping model was trained without any geospatial data on 5,657 residential home listings to provide a baseline for comparison. Geospatial Data Enrichment Example.

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Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

Smarten

JUNE 5, 2019

Smarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite.

Analytics 40

Analytics Predictive Modeling Data Analytics Data Warehouse 40

Smart Data Collective

DECEMBER 12, 2020

The exponentially increasing complexity and generation of data are dynamically changing the way various industries are operating and it is especially changing the financial sector. Because computers can go through the data and process it at a huge scale, much more accurate and up-to-date models and stock selections can be made.

Big Data 136

Big Data Machine Learning Finance Predictive Modeling 136

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. The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. Online Target Marketing.

Predictive Analytics 65

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!

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Predictive Analytics Analytics Predictive Modeling Forecasting 64

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 97

Strategy Technology Digital Transformation Data Lake 97

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 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.

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IoT Unstructured Data Machine Learning Predictive Modeling 98