datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Research different KPI examples and compare to your own.

IT 317

IT Statistics KPI Data-driven 317

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Podcast: Google, Evangelism, Data Privacy, Analytics, Yahoo! & Triggers, Benchmarking, Identifying Goals & KPI Cards.

KPI 124

KPI Metrics Measurement ROI 124

datapine

DECEMBER 17, 2019

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. Thanks to their real-time nature, you don’t need to struggle with the permanent synchronization: all your data is always up-to-date.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

Smarten

APRIL 19, 2024

Key Influencer Analytics to understand interrelationships and impact of data columns with each other and target columns Sentiment Analysis This sophisticated analytical technique goes beyond quantitative questionnaires and surveys to capture the real opinions, feelings and sentiments of consumers, employees, and other stakeholders.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 17, 2021

Data discovery is a term used to describe the process for collecting data from various sources by detecting patterns and outliers with the help of guided advanced analytics and visual navigation of data, thus enabling consolidation of all business information. 3) Easily work with massive amounts of data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161