Precisely

NOVEMBER 5, 2024

While data quality issues are nothing new, the impact of these problems is more impactful on business outcomes than ever before. That’s due to the speed at which advanced analytics, business intelligence (BI), and artificial intelligence (AI) are progressing.

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Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part? His major takeaway?

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Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Low quality In many scenarios, there is no one responsible for data administration.

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Dataconomy

MARCH 28, 2025

It merges the principles of decision theory, data science, and artificial intelligence into a cohesive framework, enriching the decision-making landscape. Definition and scope Understanding decision intelligence requires recognizing its multi-faceted nature.

Data Science 91

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Tableau

JULY 15, 2021

ALEXANDER POGOSTER , VP of Analytics, Business Intelligence & Risk, Paigo. Tableau Select Reseller Partner, Montage Professional Services, builds Data Culture in this Kiwi municipality. Tableau Select Reseller Partner, Montage Professional Services, builds Data Culture in this Kiwi municipality.

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Dataconomy

MAY 27, 2025

Prioritizing analytical reasoning and problem solving The overlap between analytics and business demands problem-solving analytical skills. MIS education guarantees students can dissect large problems into smaller pieces using reason and data. MIS curricula educate learners to develop business questions that can be answered with data.

Analytics 91

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Alation

FEBRUARY 20, 2020

Self-service analytics tools have been democratizing data-driven decision making, but also increasing the risk of inaccurate analysis and misinterpretation. A “catalog-first” approach to business intelligence enables both empowerment and accuracy; and Alation has long enabled this combination over Tableau.

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Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! EDA is an iterative process, and is used to uncover hidden insights and uncover relationships within the data.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.

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phData

NOVEMBER 9, 2023

The main goal of a data mesh structure is to drive: Domain-driven ownership Data as a product Self-service infrastructure Federated governance One of the primary challenges that organizations face is data governance. What is a Data Lake? What kinds of Workloads Does Snowflake Handle?

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Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

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Business Intelligence Business Intelligence Analytics Analytics 52

Tableau

JULY 15, 2021

ALEXANDER POGOSTER , VP of Analytics, Business Intelligence & Risk, Paigo. Tableau Select Reseller Partner, Montage Professional Services, builds Data Culture in this Kiwi municipality. Tableau Select Reseller Partner, Montage Professional Services, builds Data Culture in this Kiwi municipality.

Tableau 52

Tableau Data Governance Analytics Analytics 52

Alation

MARCH 8, 2022

To maintain trust and confidence, it’s critical that self-service data instills a level of trust so workers can get the data they need and make quick, confident decisions. Connects BI to data science tools. Data Analytics Governance: What You Need to Know.

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Alation

SEPTEMBER 1, 2022

The firm focuses on business software that supports business intelligence, analytics, data management, and other key data areas. The goal of this report is to “evaluate software that provides a large number of different users with the agility they need to use data in an effective and efficient way.”

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Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

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Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

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Pickl AI

AUGUST 11, 2024

Consider factors such as data volume, query patterns, and hardware constraints. Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. Establish data governance policies and processes to ensure consistency in definitions, calculations, and data sources.

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Data Quality Data Warehouse Data Governance Analytics 52

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. There was a lack of documentation and a very heavy reliance on IT and business SMEs.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Early on, analysts used data catalogs to find and understand data more quickly.

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Data Quality Data Warehouse Data Profiling Data Governance 52

Alation

APRIL 12, 2022

The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance. The CDO’s Role in Driving a Data Strategy.

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ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. A quick search on the Internet provides multiple definitions by technology-leading companies such as IBM, Amazon, and Oracle.

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IBM Journey to AI blog

JULY 1, 2024

Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more.

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Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

FEBRUARY 20, 2020

Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

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Pickl AI

DECEMBER 4, 2023

Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence.

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Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

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phData

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. However, merely knowing what it consists of isn’t enough.

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Data Science Blog

MAY 15, 2023

Aber Moment mal, was ist eigentlich ein Data Lakehouse? Der Artikel beginnt mit einer Definition, was ein Lakehouse ist, gibt einen kurzen geschichtlichen Abriss, wie das Lakehouse entstanden ist und zeigt, warum und wie man ein Data Lakehouse aufbauen sollte.

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Data Science Blog

MARCH 14, 2023

Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

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phData

MAY 6, 2025

Its functionality comprises standing as an intermediary between raw data and visualizations and, thereby, acts as the place to facilitate ease of data exploration and analysis. It represents a centralized, shared data definition, allowing aggregations and other transformations.

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SQL Database Data Warehouse Analytics 52