CIO Business Intelligence

AUGUST 28, 2023

Agile project management tools, templates and resources There are also many templates available from companies like Microsoft that project managers can use rather than re-creating the wheel. The process starts again until all work or backlog is complete.

Management 98

Management Software Testing Risk 98

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. Few enterprises have the time or resources to tag and profile datasets by hand.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Alation

MAY 24, 2022

Enhanced business glossary. A business glossary is critical to aligning an organization around the definition of business terms. Without an easily accessible glossary, people can easily misunderstand and therefore miscalculate important metrics, such as revenue or customers. Download the solution brief.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Octopai

SEPTEMBER 10, 2019

Let’s take “data dictionary” and “business glossary” for example. It is important to note when differentiating between the two that they are mainly silo – or project-based, and therefore the value they provide across the multi-system business intelligence infrastructure is limited. What is a Business Glossary?

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

Octopai

JANUARY 12, 2020

If you’re in the Business Intelligence world, there is a chance that you and I had a brief chat about metadata. Streamlining this process could save months of wasted resources. They simply don’t have the time or resources to focus on this. Migrating from a Legacy to a Modern BI System? Inaccuracies in reports.”

Metadata 57

Metadata Management Data Governance Business Intelligence 57

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. At this point, turning to self-service business intelligence would be the most affordable and effective solution.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

MARCH 29, 2021

Staying ahead in business is challenging — but essential. Every business feels the pressure of competition, resource scarcity, and disruption due to technology breakthroughs. To keep up, more businesses have shifted toward data-driven decision making. How data catalogs with search & discovery help users.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

Octopai

FEBRUARY 27, 2020

The business intelligence & analytics environment becomes further complex when you consider the multiple systems in place processing data (database (DWH), ETL, analysis, reporting) that are all likely housing different descriptions of the same data, creating ONE. So, you may very well want to consider the cloud.

Metadata 52

Metadata Data Warehouse Reporting Software 52

Peter James Thomas

AUGUST 2, 2019

Business Glossary (contributor: Tenny Thomas Soman ). Remember that The Dictionary is a free resource and quoting contents (ideally with acknowledgement) and linking to its entries (via the buttons provided) are both encouraged. Thanks to all of these for their help. Application Programming Interface (API). Chart (Graph).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Alation

JUNE 7, 2023

Pulling back and waiting out the storm only leaves you in a weaker position today and without the resources or products to win tomorrow. You might not have the time or resources to slowly evaluate and experiment across multiple options. Take a moment, admit that the situation is happening, and then start to adapt.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

BI-Survey

MARCH 4, 2022

Instead, the softer, more difficult structures will enable the ultimate transformation to becoming a fully data-driven business. Together with the lessons learned from this study and the BARC Data Culture Framework, we hope to provide resources that help leaders to ride the wave of this new mindset and begin to build their data culture.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

Alation

DECEMBER 15, 2021

A data governance strategy helps organizations gain greater value from data science and business intelligence tools, as well as the analysts and scientists utilising them. As part of this process, the organization should start by: Inventorying data: Create a complete record of information resources with relevant metadata.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

erwin

NOVEMBER 6, 2020

From our perspective, the key to data governance success is meeting the needs of both IT and business users in the discovery and application of enterprise “data truths.” We do this through an open, configurable and flexible metamodel across data catalog, business glossary, and self-service data discovery capabilities with built-in automation.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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 79

Management Risk Measurement Optimization 79