datapine

JANUARY 21, 2020

Another crucial factor to consider is the possibility to utilize real-time data. Every serious business uses key performance indicators to measure and evaluate success. Enhanced data quality. With so much information and such little time, intelligent data analytics can seem like an impossible feat.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

O'Reilly on Data

OCTOBER 13, 2020

It is entirely possible for an AI product’s output to be absolutely correct from the perspective of accuracy and data quality, but too slow to be even remotely useful. There are many ways to improve AI product durability, including: Time-based model retraining : retraining all core models periodically, regardless of performance.

Management 243

Management Metrics Machine Learning Modeling 243

Jet Global

MARCH 4, 2020

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. First Pass Yield Rate = Quality Units / Total Units Produced. Now it is time to look at some data management best practices.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. 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 science approaches. Algorithms.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

datapine

FEBRUARY 22, 2022

Collect and prioritize pain points and key performance indicators (KPIs) across the organization. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. Clean data in, clean analytics out.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

APRIL 16, 2019

To get the most out of your data teams, companies should define their objectives before beginning their analysis. Set a strategy to avoid following the hype instead of the needs of your business and define clear Key Performance Indicators (KPIs). Exclusive Bonus Content: How to be data driven in decision making?

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smarten

FEBRUARY 13, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Analytics 52

Analytics Key Performance Indicator Business Intelligence ROI 52

AWS Big Data

AUGUST 14, 2023

Conversely, where data products overlap with each other, their value to the organization is reduced accordingly, because redundancies between data products represent an inefficient use of resources and increase organizational complexity associated with data quality management.

Management 75

Management Risk Measurement Optimization 75