article thumbnail

The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 133
article thumbnail

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Collect and prioritize pain points and key performance indicators (KPIs) across the organization. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

article thumbnail

How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Primary keys. Structured, semi-structured, and unstructured data. Data pipelines. Data science approaches. Data quality.