Timo Elliott

APRIL 23, 2024

For the last decade, the pattern matching capabilities of machine learning have slowly and steadily been deployed to help organizations automate and optimize purchasing decisions. The good news is that artificial intelligence can help. Artificial intelligence for procurement isn’t new.

Scorecard 59

Scorecard Cost-Benefit Machine Learning Optimization 59

Smarten

SEPTEMBER 9, 2024

With the introduction of Artificial Intelligence and Machine Learning, as well as data visualization tools, designed for charting, dashboards and performance scorecards. The market is forecasted to achieve nearly a 23% growth over the next three years.

Business Intelligence 52

Business Intelligence Scorecard Key Performance Indicator Dashboards 52

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Balanced scorecards, GIS, analytic apps, extranets. The tools took too much learning.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

DataRobot Blog

JUNE 27, 2022

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

AWS Big Data

JUNE 21, 2023

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. For example, the same dataset could be used to build machine learning (ML) models to identify trends and predict sales.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

FineReport

APRIL 26, 2023

” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence. Descriptive Analytics is used to determine “what happened and why.”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smarten

SEPTEMBER 9, 2024

The current state of Mobile BI tools incorporates new technologies, including Artificial Intelligence (AI) and popular search technologies like Natural Language Processing (NLP) and Machine Learning, as well as sophisticated analytical features and techniques.

Business Intelligence 52

Business Intelligence Key Performance Indicator IT Metrics 52

Occam's Razor

MARCH 23, 2021

A key part of how this manifested in our work was doing truly super-advanced machine-learning powered analysis to answer hard questions that few can successfully. Executive scorecards, post-campaign analysis, some limited data puking (only when we absolutely can’t get away with it because someone who influences our existence is asking!),

Analytics 133

Analytics Scorecard Strategy Testing 133

CIO Business Intelligence

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Does that machine learning algorithm really need to study one terabyte of historical data or could it get the same results with several hundred gigabytes.

IT 145

IT Scorecard Software Modeling 145

Jet Global

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. Enhanced Skill Development: Building your own software allows your application team to develop new skills in data science, machine learning, and analytics.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

DataKitchen

FEBRUARY 17, 2025

The data engineer’s job is to ensure reliable, high-quality data pipelines that fuel analytics, machine learning, and operational use cases. They are crucial for data quality scorecards, which help track the long-term health of an organization’s data.

Data Quality 183

Data Quality Testing Scorecard Data-driven 183

David Menninger's Analyst Perspectives

JANUARY 29, 2025

For example, only 57% of software providers evaluated were graded at A- or above for applying product thinking to the creation of data products, 52% for metrics and scorecards related to data usage and 44% for the incorporation of knowledge graph capabilities to map the relationships between data and entities.

Metadata 147

Metadata Data Governance Data Quality Scorecard 147

CIO Business Intelligence

JANUARY 16, 2025

The scorecard speaks for itself. Machine learning algorithms were also being included for data cleansing and anomaly detection. A study by McKinsey found that less than 30% of digital transformation initiatives are successful in achieving their objectives.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105