CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. Data modeling captures how the business uses data and provides context to the data source. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata.

Testing 157

Testing Metadata Dashboards Statistics 157

Octopai

MAY 31, 2022

Business intelligence is the primary place where your data becomes an asset. But the data needs to be managed so that it can be leveraged as an asset, driving your business forward and creating positive ROI. Bonus tool: active metadata management. If you want your data to be a business asset, treat it like one.

Management 52

Management Metadata Business Intelligence ROI 52

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Note that the materialized view definition contains the ‘stored by iceberg’ clause. Such a query pattern is quite common in BI queries.

Snapshot 89

Snapshot Metadata Cost-Benefit Data Warehouse 89

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Data lineage is incomplete without the business layer provided by an Automated Business Glossary.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Octopai

SEPTEMBER 21, 2020

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. A data dictionary is essentially a one-stop-shop for all of these terms and definitions.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

Octopai

OCTOBER 8, 2020

Let’s take a more in-depth look at each of these organizational data tools and their influence on business intelligence insights. A Business Glossary Can Be Used Company-Wide. A business glossary provides definitions for the information found inside of a dataset. Which Tool is Right For You?

Metadata 96

Metadata Reporting Management Business Intelligence 96

AWS Big Data

DECEMBER 5, 2023

For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. These table definitions are used as the metadata repository for external tables in Amazon Redshift.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. But, with the amount of time it takes for BI to deliver and the amount of manual data mapping and tracing required to enable accurate delivery, you have to question if maybe BI could be made more intelligent. So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Octopai

MAY 18, 2020

You must examine the report definition and track the path of each item on the report to its original sources. Your business intelligence team has better things to do with their time, but they can’t make any headway because they continually have to stop what they’re doing to chase down reporting errors.

Metadata 52

Metadata Reporting Business Intelligence Data Warehouse 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Iceberg stores the metadata pointer for all the metadata files. The following example demonstrates this.

Data Lake 92

Data Lake Data Warehouse Metadata Data Architecture 92

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. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues. The MDM tool should help with this.

Management 52

Management Data Quality Metadata Testing 52

CIO Business Intelligence

MARCH 4, 2024

For starters, there are many instances where most of the business day-to-day use and management of a firm’s dataset are based on the “fit-for-purpose” needs of its constituent area. This is where data fabric tools with their focus on orchestration, contextual layering, and metadata management are important elements to add to the equation.

Insurance 97

Insurance Strategy Data Governance Data Integration 97

Octopai

SEPTEMBER 10, 2019

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. This is also relevant for logical BI data objects, and it should have a business flavor to it, not just technical.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions. Data engineers write dbt models with templatized SQL.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

datapine

MAY 29, 2019

In this post, we will explain the definition, connection, and differences between data warehousing and business intelligence , provide a BI architecture diagram that will visually explain the correlation of these terms, and the framework on which they operate. But first, let’s start with basic definitions.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

CIO Business Intelligence

FEBRUARY 14, 2024

The other problem is gen AI tools and users not seeing information that should be included because the metadata tagging and sensitivity labels haven’t been correctly applied to the data. Do you want to have an even more powerful search capability with AI in your data, and to be unsure about how you’ve organized that data?”

IT 143

IT Metadata Data-driven Management 143

Alation

FEBRUARY 13, 2020

A broader definition of Business Intelligence. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI). To interpret the study accurately, it’s important to distinguish that Dresner’s definition of BI is broader than BI tools.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Smart Data Collective

JULY 27, 2021

Metazoa CEO Jennifer Mercer doesn’t think that either of those definitions is very helpful, especially when it comes to Salesforce. First of all, Salesforce orgs [accounts] need to be highly customized in order to address important business requirements,” states Mercer. The answer is complex at best, but there is hope. Unused assets.

Big Data 132

Big Data Snapshot IT Dashboards 132

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. It should go beyond just listing definitions to key terms. Not sure if you need a Business Glossary or a Data Dictionary?

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

Octopai

NOVEMBER 13, 2022

The components that make up a modern data stack are usually characterized by a high level of automation that leave humans free to do the truly intelligent parts of business intelligence. Your data lineage tool should be no different. Data lineage that integrates with a data catalog.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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. They have little in the way of definition or categorization. Folding In Metadata Automation. Scalability.

Metadata 40

Metadata Data Governance Data Lake IoT 40

CIO Business Intelligence

APRIL 19, 2022

The amount of metadata that cloud providers are collecting is much greater than people realise. Today, sovereign cloud lacks a definition that is commonly accepted or used in the industry. A sovereign cloud ensures all data including metadata stays on sovereign soil and prevents foreign access to data under all circumstances.

Metadata 59

Metadata Risk Data-driven Strategy 59

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. All rights reserved.

Data Warehouse 81

Data Warehouse Cost-Benefit Metadata Data-driven 81

AWS Big Data

AUGUST 14, 2023

Data products vs. data definitions The following figure illustrates how data definitions are defined and inherited throughout the lineage of data products. To prevent this, it can be useful to distinguish between data products and data definitions.

Management 76

Management Risk Measurement Optimization 76

AWS Big Data

MARCH 1, 2024

End users access this data using third-party SQL clients and business intelligence tools. Technical Solution To implement customer needs for securing different categories of data, it requires the definition of multiple AWS IAM roles, which requires knowledge in IAM policies and maintaining those when permission boundary changes.

Data Lake 99

Data Lake Data Warehouse Management Risk 99

CIO Business Intelligence

JULY 5, 2022

To begin to simplify this complexity, let’s start with the definition of the parts that make up the whole of digital sovereignty. This also includes any additional data and metadata created by the processing of the original data that falls under this same jurisdictional requirement. Defining digital sovereignty.

Uncertainty 97

Uncertainty Metadata Machine Learning Data Governance 97

CIO Business Intelligence

JUNE 30, 2022

To begin to simplify this complexity, let’s start with the definition of the parts that make up the whole of digital sovereignty. This also includes any additional data and metadata created by the processing of the original data that falls under this same jurisdictional requirement. Defining digital sovereignty.

Uncertainty 97

Uncertainty Metadata Machine Learning Data Governance 97

CIO Business Intelligence

MAY 25, 2022

Product lifecycle management definition. PLM brings together people, data, processes, and business systems to aid an organization’s ability to develop, market, and support its products.

Management 103

Management Manufacturing Cost-Benefit IoT 103

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. The topics they feature include: big data, technology trends, data management, online privacy, security, personal tech, IT business, and cloud computing. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Finally, the data is aggregated into specific data products oriented to a specific business line.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

TDAN

JANUARY 14, 2020

Data Governance requirements are instrumental to 1) planning for Data Governance, 2) the definition of Data […]. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89