IBM Big Data Hub

MARCH 29, 2024

Developers, IT and business management teams determine what metrics are most useful to track to maintain a level of application performance that meets business objectives. Metrics vary depending on the data that a team deems important and can include network traffic, latency and CPU storage.

Metrics 75

Metrics Visualization Measurement Optimization 75

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

CIO Business Intelligence

FEBRUARY 6, 2023

SMBs that have undergone digital transformation are already generating data relating to these business operations disciplines. With the right BI features, they can derive insights that help meet their business objectives from those signals.

Business Intelligence 91

Business Intelligence Forecasting Marketing Sales 91

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization. Compliance and security: For industries with strict regulatory requirements (e.g., pharmaceuticals, aerospace, etc.),

Software 68

Software Manufacturing Internet of Things Cost-Benefit 68

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Dataiku

APRIL 22, 2022

Storage infrastructure and data collection/processing costs. Frugal by Design: Why Focus on the Data and Not the Code? Results indicated that focusing on the data and engineering a small, near perfect dataset for defect detection yielded a 16.9% Energy costs associated with training and operationalizing AI systems.

Experimentation 59

Experimentation Business Objectives Modeling Manufacturing 59

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

CIO Business Intelligence

OCTOBER 2, 2024

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. While this leads to efficiency, it also raises questions about transparency and data usage.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

CIO Business Intelligence

JANUARY 14, 2025

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Enterprise architects must shift their focus to business enablement. The stakes have never been higher.

Enterprise 119

Enterprise Technology Metrics Measurement 119

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. But, as with any other business scenario, it is not without problems.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Rocket-Powered Data Science

JULY 21, 2023

Organizations are able to monitor integrity, quality drift, performance trends, real-time demand, SLA (service level agreement) compliance metrics, and anomalous behaviors (in devices, applications, and networks) to provide timely alerting, early warnings, and other confidence measures. I call that “digital resilience for the win!

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. A data governance strategy provides a framework that connects people to processes and technology.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64