article thumbnail

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. The key difference is this: monitoring is what you do, and observability is why you do it.

article thumbnail

Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

Definitions and standard perspectives on these terms will be covered in this post: Business Objectives. Business Objectives: This is the answer to the question: "Why does your website exist?" " Or: "What are you hoping to accomplish for your business by being on the web?" Dimensions.

Metrics 140
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.

article thumbnail

Bringing an AI Product to Market

O'Reilly on Data

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 363
article thumbnail

How Can BI Consulting Services Help Foster Data-driven Decisions

BizAcuity

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

article thumbnail

A step-by-step guide to setting up a data governance program

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes.

article thumbnail

Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.