Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 97

Data Governance Analytics Analytics Tableau 97

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Dataversity

FEBRUARY 4, 2022

But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].

Data Modeling 52

Data Modeling Data Models Data Quality Data Governance 52

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Data Quality Data Silos Data Modeling 52

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

IBM Journey to AI blog

APRIL 8, 2024

Gartner has estimated that 80% of organizations fail to scale digital businesses because of outdated governance processes. Data is an asset, but to provide value, it must be organized, standardized and governed. The new company’s data model is completely different from the original company.

Data Governance 71

Data Governance Data Modeling Data Models AI 71

phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. Dynamic RLS is more complex and requires logic to be defined within the PBIX file and the data model using relationships (explained later). In the new window, click Manage roles.

Power BI 101

Power BI Data Modeling Data Models Data Governance 101

The Data Administration Newsletter

APRIL 20, 2021

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.

Data Governance 52

Data Governance Data Modeling Data Models Business Intelligence 52

Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

The Data Administration Newsletter

FEBRUARY 1, 2022

My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), The book describes, […].

Data Modeling 64

Data Modeling Data Models Data Governance 64

Data Science Dojo

JULY 6, 2023

It allows data engineers to build, test, and maintain data pipelines in a version-controlled manner. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations. Scalability and Performance : Handle large data volumes with optimized processing capabilities.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

The Data Administration Newsletter

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Data Governance 52

Data Governance Data Quality Data Modeling Data Models 52

The Data Governance Institute

AUGUST 6, 2020

These values appear in thousands and millions of transactions; without change control, different repositories storing master and reference data get out of sync. One role of Data Governance is to set the scope of data-related change management and to oversee change management activities.

Data Governance 52

Data Governance Data Modeling Data Models 52

IBM Journey to AI blog

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

AI 104

AI AI Artificial Intelligence Artificial Intelligence 104

Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business. Tableau Pulse: Tableau Pulse metrics can be directly connected to dbt models and metrics.

Tableau 138

Tableau Data Quality Analytics Analytics 138

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. SAP Lumira.

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Tableau

OCTOBER 14, 2021

IT also is the change agent fostering an enterprise-wide culture that prizes data for the impact it makes as the basis for all informed decision-making. Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth.

Analytics 98

Analytics Analytics Tableau Data Governance 98

Tableau

OCTOBER 14, 2021

IT also is the change agent fostering an enterprise-wide culture that prizes data for the impact it makes as the basis for all informed decision-making. Culture change can be hard, but with a flexible data governance framework, platform, and tools to power digital transformation, you can accelerate business growth.

Analytics 95

Analytics Analytics Tableau Data Governance 95

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Data Governance 52

Data Governance Data Modeling Data Models Data Quality 52

The Data Administration Newsletter

SEPTEMBER 21, 2022

Data Mesh and Data as a Product In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous […]. (..)

Data Modeling 52

Data Modeling Data Models Data Governance 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Dataversity

JULY 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling appeared first on DATAVERSITY.

Data Governance 59

Data Governance Data Modeling Data Models 59

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

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. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

ODSC - Open Data Science

APRIL 28, 2023

As much as data quality is critical for AI, AI is critical for ensuring data quality, and for reducing the time to prepare data with automation. Data quality also works hand in hand with data governance. How does this all tie into AI/ML?

ML 98

ML ML Data Silos Data Quality 98

Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

Data Pipeline 52

Data Pipeline Database Data Modeling Data Models 52

phData

APRIL 10, 2023

This decision-making process is exactly what governed self-service analytics is all about. A truly governed self-service analytics model puts data modeling responsibilities in the hands of IT and report generation and analysis in the hands of business users who will actually be doing the analysis.

Analytics 52

Analytics Analytics Data Governance Data Modeling 52

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Tableau 98

Tableau Data Warehouse Database Data Analyst 98

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

The Data Administration Newsletter

AUGUST 31, 2021

Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? I have listened to many presentations and read many articles about data governance (or data stewardship if you prefer), but I have never come across anyone saying they can and should be. Should they be?

Data Governance 52

Data Governance Data Modeling Data Models 52

Precisely

MARCH 27, 2023

Transforming Go-to-Market After years of acquiring and integrating smaller companies, a $37 billion multinational manufacturer of confectionery, pet food, and other food products was struggling with complex and largely disparate processes, systems, and data models that needed to be normalized. million in annual recurring savings.

Data Quality 52

Data Quality Data Lakes Data Governance Data Modeling 52

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Big Data 52

Big Data Big Data Machine Learning Machine Learning 52

phData

AUGUST 10, 2023

In data vault implementations, critical components encompass the storage layer, ELT technology, integration platforms, data observability tools, Business Intelligence and Analytics tools, Data Governance , and Metadata Management solutions. Automate and prioritize Test Driven Development (TDD) for data vault projects.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52