AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 91

Optimization B2B Data Quality Sales 91

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. It’s not about data quality .

Testing 214

Testing Manufacturing Data Quality Statistics 214

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. Feel free to take full advantage of this guide!

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Alation

MAY 31, 2023

Ben Fox has worked with data-driven organizations such as Toyota Financial, Washington Mutual, Disney, Activision Blizzard, and Electronic Arts, and has authored the book, Cooking with Business Intelligence. His major takeaway? See the session description and add it to your agenda.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. That means: All of these metrics are off. How does one go about changing a corporate culture to make data driven insight an implicit demand of an organization frightened of data?

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Then in the bottom tier, you had your data management, your back office, right? One is data quality, cleaning up data, the lack of labelled data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? By building a governance framework to address data usage and quality issues, Virgin Australia was able to standardize definitions to facilitate data discovery and build trust.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. So there are three unusual books suggested for your reading list.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

APRIL 12, 2022

CDOs have a mandate across the data value chain, across that whole life cycle of data. Data governance also extends across that life cycle. It’s not just about security or privacy or ensuring data quality; it’s also ensuring the right people can access it and use it to deliver value to the organization.”.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

datapine

MAY 17, 2021

Studies suggest that 79% of enterprise executives believe that companies that do not leverage big data in the right way will lose their competitive position and could ultimately face extinction. Moreover, 83% of executives have pursued big data projects to gain a competitive edge. 3) Easily work with massive amounts of data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

MAY 8, 2024

According to a recent Dresner Advisory Services’ Wisdom of Crowds® Business Intelligence Market Study, Logi Symphony has been recognized as a leader in the field. Among other findings, the report identifies operations, executive management, and finance as the key drivers for business intelligence practices.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52