AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 67

Modeling Sales Data Warehouse Snapshot 67

Timo Elliott

FEBRUARY 8, 2023

New cloud platform technologies have unleashed new opportunities for business model innovation. With affordable measurement systems, we can monitor the filters and then order the change when it is actually necessary. In addition, the majority of filter changes are performed according to fixed change intervals.

Modeling 98

Modeling Cost-Benefit Optimization Machine Learning 98

CIO Business Intelligence

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI. What-if parameters also create calculated measures you can reference elsewhere.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

IBM Big Data Hub

APRIL 19, 2024

Robots and drones perform inspections by using AI-based visual recognition techniques. Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution.

Management 94

Management Internet of Things Risk IoT 94

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

datapine

OCTOBER 7, 2020

We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Your Chance: Want to visualize & track operational metrics with ease? What gets measured gets done.” – Peter Drucker.

KPI 269

KPI Metrics Sales Visualization 269

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. If you’re looking to get an edge on a data analytics career, certification is a great option. The number of data analytics certs is expanding rapidly.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

APRIL 25, 2024

Greater ease of use High-level users can leverage Copilot Builder in Einstein 1 Studio to build their own actions, but the beauty of the preprogrammed actions, Parulekar said, is that users can leverage them without having to train or fine-tune a large language model (LLM). Recommended Actions.

Sales 120

Sales Cost-Benefit Forecasting Measurement 120

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

MARCH 18, 2024

Developers of risky generative AI models are now free to release them without government approval, but are being encouraged to self-regulate by adding labels to the output of their models warning of their potential unreliability. Akshara Bassi, senior analyst at Counterpoint, weighed in on the implications for AI model developers.

Metadata 84

Metadata Visualization Modeling Risk 84

Smarten

APRIL 25, 2024

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

Domino Data Lab

NOVEMBER 14, 2019

Model interpretability continues to spark public discourse among industry. We have covered model interpretability previously, including a proposed definition of machine learning (ML) interpretability. Yet there are tradeoffs to consider when selecting a model. Errors like these may occur when the model is being constructed.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

datapine

JUNE 18, 2019

A data-driven finance report is also an effective means of remaining updated with any significant progress or changes in the status of your finances, and help you measure your financial results, cash flow, and financial position. These are powerful tools that you can apply to increase internal business performance.

Reporting 251

Reporting Metrics KPI Finance 251

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. We (oh how I hate this) apply irrational and "narrow-view" measurement strategies toward understanding what is successful and what's not. The See – Think – Do Framework: Measurement Strategy.

Measurement 163

Measurement Marketing Key Performance Indicator Metrics 163

IBM Big Data Hub

MAY 8, 2024

Process visualization: Convert results into models or develop to collaborate and enrich. Simulation and measurement: Generate embedded business cases for value realization, including cost, time, resource and bottleneck impact. Establish a performance baseline. Establish as-is processes. Adjust for unique processes.

Measurement 91

Measurement Technology Visualization Optimization 91

CIO Business Intelligence

JUNE 23, 2023

Integrate various data sources Integrating data sources is another strategy to provide added insights for clients, and can be achieved via 2D environments such as analytics dashboards and GIS, or 3D environments like digital twins with XR capabilities for visualization, such as Magic Leap and Apple Vision Pro.

Data Strategy 115

Data Strategy Strategy Visualization Consulting 115

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). We can show you how to accomplish this. Get started. 1 MIT Sloan Management Review September 06, 2017.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

AUGUST 14, 2020

A customer retention dashboard and metrics depicted in a neat visual will help you in monitoring, analyzing, and managing multiple customer-centric points and how they echo in your business. A professional dashboard maker can help in the process, but let’s see this through some visual examples of customer retention.

Dashboards 176

Dashboards Metrics B2B Visualization 176

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. SAS Certified Specialist: Visual Business Analytics Specialist. BI encompasses numerous roles.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. By embracing SaaS BI tools , businesses can unlock enhanced scalability, faster implementation, and robust security measures while empowering users with self-service analytics capabilities.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data. The Data Change Request Ratio metric measures the rate of business demand for data. The Mean Time to Recovery metric measures how quickly defects can be resolved. Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

MARCH 19, 2024

Yet without the ability to identify the right variables, the business is likely to measure and attend to the wrong things. The system will auto-suggest relationships and present distribution and impact using the most appropriate visualization. That’s where Key Influencer Analytics comes into play!

Analytics 57

Analytics Statistics Visualization Metrics 57

CIO Business Intelligence

AUGUST 29, 2023

The best way to visualize a value stream is as a cross-section of multiple functional silos, comprised of the individuals in each who are participating in the creation and delivery of a specific stream of value. Culture built on trust Traditionally, most large companies are organized around functional silos.

Management 97

Management Digital Transformation Measurement Software 97

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. Multi-Channel Attribution Models. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

DataKitchen

NOVEMBER 18, 2022

Logs and storage for problem diagnosis and visualization of historical trends. Observability users are then able to see and measure the variance between expectations and reality during and after each run. Real-time details are not the only purpose for setting and measuring against expectations. An event or rules engine.

Testing 130

Testing Statistics Measurement Metrics 130

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? For example, how might social media spending affect sales? It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

NOVEMBER 9, 2023

They should be able to work collaboratively with many departments in developing AI strategy and vision, and they should be able to design and target relevant business use cases, assess project outcomes, and measure ROI in each case. provides another model for the CAIO role evolving today.

IT 131

IT Strategy Reporting Visualization 131

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.

Dashboards 90

Dashboards Visualization Machine Learning Data Science 90

CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The owners, CEO, and CIO have launched a review of the operating model in which the technology implementations fit.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

CIO Business Intelligence

APRIL 8, 2024

Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. The great thing about the app is it’s very visual and it also has a reasonable amount of customization.” Souza’s advice: Cultivate curiosity.

Analytics 114

Analytics Broadcasting Predictive Analytics Metrics 114