CIO Business Intelligence

APRIL 1, 2024

Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

APRIL 16, 2024

GenAI can use process piping and instrumentation diagrams (P&IDs), databases, schematics, documentation, and even floor photographs to integrate plant process tags and operations. Using this intelligence, GenAI can then automatically populate a global namespace for tags, greatly accelerating time to value. Data quality dependence.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. This popular open-source tool for data warehouse transformations won out over other ETL tools for several reasons. The tool also offered desirable out-of-the-box features like data lineage, documentation, and unit testing.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Assess Data Quality.

Management 52

Management Data Quality Metadata Testing 52

datapine

JANUARY 21, 2020

Spreadsheets no longer provide adequate solutions for a serious company looking to accurately analyze and utilize all the business information gathered. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

CIO Business Intelligence

DECEMBER 19, 2023

In considering next year’s priorities, the following initiatives are good bets to be transformational for many organizations, in large part by helping CIOs close execution gaps while delivering ongoing business impacts. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

APRIL 4, 2024

Lilly also developed an AI tool to manage and interpret patient data from therapeutic devices, and improve the safety and effectiveness of medicines using a proprietary “sensor cloud.” This can help companies accelerate the use of AI while they continue to curate their internal data and harvest their expertise.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

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

CIO Business Intelligence

JANUARY 9, 2024

Still, he’s aiming to make conversations more productive by educating others about artificial intelligence. Can the current state of our data operations deliver the results we seek? Another tough topic that CIOs are having to surface to their colleagues: how problems with enterprise data quality stymie their AI ambitions.

IT 140

IT Risk Cost-Benefit Enterprise 140

Alation

FEBRUARY 7, 2023

Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company. The business analysts were dealing with a problem that may sound familiar to folks in the data management space. Table and column lineage form an essential data foundation.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

CIO Business Intelligence

MARCH 24, 2023

revenue growth from businesses showing a lower commitment to ESG. Overcoming data challenges Despite their growing commitment to ESG, financial firms have learned the path to sustainability and prosperity can be rocky. “ESG ESG data quality is the biggest challenge.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

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. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Value Achieved.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Alation

JULY 19, 2021

Artificial intelligence and machine learning (AI and ML) are removing some of the burden of manual metadata management, which has grown too cumbersome for people to manage alone. Data intelligence integrates intelligence derived from active metadata into categories like data quality, governance, and profiling.

Metadata 105

Metadata Management Data Governance Machine Learning 105

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

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

JUNE 27, 2022

After the first implementation, we understood that supplier data is not always clean,” he says. Data capture will need a good data quality program around it.”. Suppliers can make or break automation projects like this in other ways, too.

Cost-Benefit 104

Cost-Benefit Finance Digital Transformation Enterprise 104

CIO Business Intelligence

MARCH 7, 2024

Documenting these plans and use cases will be critical to minimize the future workload if regulators come knocking (and they will). I also know that companies must have great data quality or scrubbed data to feed the AI models, or your outputs will be worthless. There is also the concern about using data.

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

Smart Data Collective

APRIL 20, 2022

Data entry errors can be reduced by minimizing the number of unnecessary records in the system. Reducing data redundancy is made easier by reviewing and modifying forms, data, and documents regularly. Errors will be less likely to be entered into the system if redundant data is removed from it.

Data Processing 135

Data Processing Data Collection Technology Optimization 135

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Smart Data Collective

APRIL 29, 2020

Dataform enables the creation of a central repository for defining data throughout an organisation, as well as discovering datasets and documenting data in a catalogue. The platform allows data quality tests to be written with alerts, and schedules that ensure data is kept current. Microsoft Azure.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

Alation

JULY 19, 2022

For instance, Alation can return wiki-like articles, conversations, and business intelligence objects, in addition to traditional tables. Documenting data science projects this way in a data catalog saves time and prevents data scientists from wasting resources on duplicate projects.

Metadata 59

Metadata Data Quality Statistics Data Science 59

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. The central concept is the idea of a document.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98

CIO Business Intelligence

JANUARY 15, 2024

With seven operating centers, nine research facilities, and more than 18,000 staff, the agency continually generates an overwhelming amount of data, which it stores in more than 30 science data repositories across five topical areas — astrophysics, heliophysics, biological science, physical science, earth science, and planetary science.

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

CIO Business Intelligence

FEBRUARY 20, 2023

A candidate who earns the certification will have proved their ability to build bundle configurations, pricing, output documents, and renewals and amendments.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

CIO Business Intelligence

JANUARY 23, 2024

Quality metrics can be used to measure the improvements that come from reducing defects, lowering the impacts of human errors, improving data quality, and other program outcomes that illustrate how increasing quality connects to business impact.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

Cloudera

AUGUST 30, 2022

It outlines a scenario in which “recently married people might want to change their names on their driver’s licenses or other documentation. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Data quality issues deter trust and hinder accurate analytics.

Data Architecture 75

Data Architecture Data Lake Metadata Data Warehouse 75

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Popular frameworks for building such DSLs are EMF with Xtext or MPS.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

MARCH 1, 2024

End users access this data using third-party SQL clients and business intelligence tools. Solution overview In this post, we’ll use synthetic data very similar to BMO data with data classified as PII, PCI, or HPR. Please review the AWS Glue documentation about creating the Glue Crawler.

Data Lake 95

Data Lake Data Warehouse Management Risk 95

erwin

MAY 27, 2020

They should automatically generate data models , providing a simple, graphical display to visualize a wide range of enterprise data sources based on a common repository of standard data assets through a single interface. Embed data governance constructs within data models. You Don’t Know What You’ve Got.

Modeling 98

Modeling Metadata Data Governance Visualization 98