Smart Data Collective

NOVEMBER 7, 2019

The benefits of predictive analytics for businesses are numerous. However, predictive analytics can be just as valuable for solving employee retention problems. Towards Data Science discusses some of the benefits of predictive analytics with employee retention.

Predictive Analytics 70

Predictive Analytics Analytics Cost-Benefit Risk 70

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

DataRobot Blog

NOVEMBER 8, 2022

Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet. AI in Customer Analytics: Tapping Your Data for Success.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

datapine

JANUARY 31, 2022

Although the oil company has been producing massive amounts of data for a long time, with the rise of new cloud-based technologies and data becoming more and more relevant in business contexts, they needed a way to manage their information at an enterprise level and keep up with the new skills in the data industry.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

DECEMBER 9, 2020

Data from these accidents is used to train machine learning algorithms to identify correlating risk factors with car accidents. The goal is to develop predictive analytics models that will be able to recommend changes to prevent such accidents from occurring in the first place.

Machine Learning 144

Machine Learning Risk Insurance Predictive Analytics 144

datapine

MAY 16, 2019

Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions. Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

datapine

MARCH 31, 2022

BI developer skills encompass crafting and executing data-driven queries upon request as well as the ongoing technical development of a company’s BI platforms or solutions. Here is a more specific rundown of BI developer skills: Demonstrable experience in the areas of BI development or data science. Yes, they exist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JUNE 1, 2022

Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Predictive analytics can foretell a breakdown before it happens. A Competitive Differentiator. Drivers have much less influence over design innovations in the cars than they used to.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Data Collection – streaming data. Data Enrichment – data engineering. The ML Challenge.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

CIO Business Intelligence

AUGUST 9, 2024

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

Smarten

SEPTEMBER 13, 2022

Imagining the Impact of Citizen Data Scientists ! Technology research and analysis firm, Gartner, coined the term, ‘analytic process automation.’ This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together.

Key Performance Indicator 78

Key Performance Indicator Predictive Analytics Metrics Dashboards 78

Sisense

NOVEMBER 30, 2020

While Zoom’s core business may be videoconferencing, the data Zoom gathers for and about its users is equally critical to its success. The emergence of AI and machine learning-based predictive analytics will lead to insights from the data that will also prove important to the app’s competitiveness.

Analytics 98

Analytics Dashboards Metrics Data-driven 98

Data Science 101

OCTOBER 31, 2019

Therefore, learning some useful data mining procedures may prove beneficial in this regard. As taught in Data Science Dojo’s data science bootcamp , you will have improved prediction and forecasting with respect to your product. The choice of these metrics depends on the nature of the problem.

Data mining 77

Data mining KDD Data Science Forecasting 77

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. Data Science Techniques.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Sisense

AUGUST 14, 2020

This is because a specialized context narrows the scope of the training data used in training the dialog algorithm. An immediately related branch of data science, called natural language querying (NLQ), focuses on using NLP to achieve particular goals. Predictive analytics AI boosts web app performance.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Sisense

AUGUST 22, 2019

These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. . To perform the most advanced business intelligence, you need to move past the KPIs and metrics possible in SQL and begin to use more powerful and flexible tools such as Python and R.

Analytics 73

Analytics Business Intelligence Predictive Analytics Visualization 73

Smarten

JULY 13, 2022

If you are in sales, your sales reps need to be able to see data and metrics for products, conversion of prospects to customers, returning customers, bundled product and sales initiatives, upcoming discounts and promotions, and more.

Sales 78

Sales Predictive Analytics Measurement Reporting 78

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

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Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

DataRobot Blog

MAY 7, 2019

From expressing metrics in unfamiliar terminology to presenting odd. Artificial intelligence (AI) and machine learning can deliver unprecedented value to the business. Unfortunately, fantastic findings often get lost in translation. Read More.

Machine Learning 72

Machine Learning Metrics Predictive Analytics Data Science 72

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. We rely on the judges to score nominations, Cloudera plays no role in judging (so hold on to your compliments!). Award Categories.

Machine Learning 56

Machine Learning Data Architecture IoT Data Warehouse 56

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g.,

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

Business Over Broadway

MARCH 13, 2019

IBM is using the power of its Watson Studio platform to extend the power of AI to people who fall outside the realm of data science, machine learning and AI experts. IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. I added the three loyalty metrics to the model.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. With this capability, you can design reports for different levels catering to varying needs: executive reports offering strategic overviews, management reports highlighting operational metrics, and detailed reports diving into the specifics.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Smarten

JUNE 12, 2017

Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas. More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. This is not very complicated.

Analytics 40

Analytics Predictive Analytics KPI Sales 40

Smarten

SEPTEMBER 9, 2024

These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. Collaboration – Business Intelligence (BI) tools allow the enterprise to encourage and engender collaboration and the sharing of data to make new product decisions, plan for new locations and resources, reduce downtime and re-work and more.

Business Intelligence 40

Business Intelligence Data-driven Advertising Reporting 40

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy.

Data-driven 69

Data-driven Sales Metrics Analytics 69