TDAN

SEPTEMBER 5, 2023

Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy. A robust data governance policy ensures compliance and security and improves the quality of Business […]

Data Governance 52

Data Governance Business Intelligence Strategy Management 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Steps for developing an effective data strategy include: 1.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 98

Strategy Data Architecture Cost-Benefit Reporting 98

TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Octopai

SEPTEMBER 10, 2020

Business Intelligence & Analytics: It’s a hard knock life for these guys. This is why a data lineage tool, namely an automated data lineage tool, is king for Business Intelligence teams. . The past helps illuminate a company’s future and learnings derived from previous campaigns advise accurate strategy.

Business Intelligence 52

Business Intelligence Data Warehouse Dashboards Reporting 52

AWS Big Data

OCTOBER 3, 2023

Amazon S3 allows you to access diverse data sets, build business intelligence dashboards, and accelerate the consumption of data by adopting a modern data architecture or data mesh pattern on Amazon Web Services (AWS). In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

CIO Business Intelligence

MARCH 24, 2023

Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog. Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. But data-driven business success doesn’t happen by accident.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

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

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

OCTOBER 11, 2022

Organisations must have a comprehensive strategy to archive and preserve the masses of content they create. And data with unclear ownership can’t be easily accessed. Preserving what is often irreplaceable information has become a challenge for educational institutions.

IT 98

IT Metadata Strategy Testing 98

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

IBM Big Data Hub

NOVEMBER 4, 2022

So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. It is critical to promote a common business language across the enterprise to break down these silos. Unlock quality data with IBM. IBM’s holistic approach to Data Quality.

Data Quality 58

Data Quality Metadata Data Governance Data-driven 58

Smart Data Collective

MAY 11, 2023

In this blog post, we will explore how AI-driven app development strategies can help your e-commerce business stay ahead in the mobile-first world. By analyzing user data, businesses can make data-driven decisions that lead to a more successful mobile e-commerce strategy.

Cost-Benefit 97

Cost-Benefit Optimization Data-driven Marketing 97

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. Meanwhile, storing, managing, and processing large volumes of unstructured data present problems of scale and complexity, causing enterprise decision-makers to reconsider their asset management strategies.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

datapine

SEPTEMBER 29, 2022

There are a lot of strategies that you can use to improve the quality of your information. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

DECEMBER 30, 2019

As 2019 ends, business intelligence specialists around the world are working to gather as much data as possible from the past year to prepare end-of-year reports. Automated Metadata Management is the key to compliance. One of the biggest obstacles for business intelligence teams is dealing with flawed data and reporting errors.

Reporting 54

Reporting Metadata Business Intelligence Management 54

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. The following are sample screenshots of the dashboards that show survey responses by zip code.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

TDAN

JUNE 18, 2019

Is adoption by the business an issue for you? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. Many organizations have attempted to implement Data Governance and their business glossary with a very limited […].

Data Governance 56

Data Governance Metadata Data Strategy Business Intelligence 56

CIO Business Intelligence

FEBRUARY 28, 2023

“After we opened the museum, the director and curatorial staff were talking about how to how to reach even more people who wouldn’t be able to come to the museum and experience it,” says Jill Roberts, program manager of the Searchable Museum at the Office of Digital Strategy and Engagement (ODSE). “We

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. It took about nine weeks to set up the infrastructure, make the connection to the database, and index and understand the metadata. In those situations, he says, you need to tell yourself: “Get back to your strategy.

IT 98

IT Forecasting Data Lake Enterprise 98

CIO Business Intelligence

JUNE 23, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Choose a hybrid data-first strategy to deliver value faster.

IT 97

IT Data Architecture Unstructured Data Big Data 97

CIO Business Intelligence

NOVEMBER 15, 2023

This article was co-authored by Ishan Prakash , a Manager at Metis Strategy. Once relegated to a role of support, the function now can inform entire strategies as critically as it does key processes or core products. And don’t just rattle off project metadata. Did you deploy AI to your customer service center? And be precise.

Publishing 124

Publishing Reporting IT Finance 124

TDAN

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.

Metadata 52

Metadata Data Governance Data Quality Management 52

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. It doesn’t conform to a data model but does have associated metadata that can be used to group it.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

CIO Business Intelligence

DECEMBER 4, 2023

Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability. In my role at Iron Mountain, I work with leaders across 65 countries to establish unified ILM strategies. Learn more about how organizations can activate a modern ILM approach with the help of a unified asset strategy.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

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. Folding In Metadata Automation. At least, as far as data analysis is concerned. Scalability.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Octopai

FEBRUARY 24, 2021

Data and metadata are the glue that connects all these different hybrid system components. In a 2020 report from TDWI (Transforming Data with Intelligence) , only 9% of companies were very satisfied with their governance and tracking data lineage across a hybrid environment of on-premise and cloud-based BI/DW systems.

Metadata 84

Metadata Reporting Data Governance Management 84

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

Testing 98

Testing Metadata Data Processing Machine Learning 98