IBM Big Data Hub

JUNE 29, 2023

In order to take a proactive approach to asset reliability, maintenance managers rely on two widely used metrics: mean time between failure, (MTBF) and mean time to repair (MTTR). Both KPIs help predict how assets will perform and assist managers in planning preventive and predictive maintenance. How does asset reliability work?

Cost-Benefit 85

Cost-Benefit Measurement Management Predictive Analytics 85

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. KPIs allow the business to establish and monitor KPIs for objective metrics.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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. Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Smarten

DECEMBER 3, 2023

IT consultants, system integrators, ISVs, and resellers can benefit from adding self-serve analytics to their apps and software by offering unique solutions without a significant investment. ‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JUNE 29, 2018

In this case, the metrics would be, “salary”, and the two related groups would be the two different “time points”; that is, salaries “before” and “after” completion of the PhD program.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

DMBS2

MAY 20, 2018

Rightly or wrongly, enterprises are often quite sloppy about analytic accuracy. My two central examples have long been inaccurate metrics and false-positive alerts. In predictive analytics, it’s straightforward to quantify how much additional value you’re leaving on the table with your imperfect accuracy.

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

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. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. temperature, salary). With repetition, the agent learns the best strategies.

Machine Learning 80

Machine Learning Modeling Deep Learning Predictive Modeling 80

BizAcuity

MARCH 8, 2019

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

FineReport

APRIL 24, 2024

By analyzing historical datasets through visual representations such as time-series graphs or predictive models, decision-makers gain valuable insights into potential trajectories for various metrics or indicators.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Smarten

JUNE 29, 2018

Given a set of transactions, this process aims to find the rules that enable us to predict the occurrence of a specific item based on the occurrence of other items in the transaction. While there are numerous metrics and factors used in this technique, for this example, we will only consider two factors namely, Support and Confidence.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. At a glance you can see all the big clusters of sources (close to the channels view in Google Analytics). You can hover over each box to get a sense of the key metrics. Short story #2: Predictive Modeling, Quantifying Cost of Inaction.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

datapine

JANUARY 31, 2022

Chantrelle Nielsen director of research and strategy for Workplace analytics said: “companies must take these metrics and direct them thoughtfully towards the design of office spaces that maximize face time over just screen time.” 5) Find improvement opportunities through predictions. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

Smarten

DECEMBER 3, 2023

What is self-service analytics? Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Augmented Analytics vs Predictive Analytics is not really a question. We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

JUNE 22, 2022

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities. The benefits of Embedded BI and Augmented Analytics are numerous. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

Jet Global

MAY 1, 2023

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52