datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 1) Data Quality Management (DQM). The analytics trends in data quality grew greatly this past year.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

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

CIO Business Intelligence

FEBRUARY 26, 2025

But when an agent whose primary purpose is understanding company documents and tries to speak XML, it can make mistakes. If an agent needs to perform an action on an AWS instance, for example, youll actually pull in the data sources and API documentation you need, all based on the identity of the person asking for that action at runtime.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

JULY 10, 2024

This skepticism necessitates rigorous questioning of vendors about privacy, data protection, security, and the use of training data. Effective partnering requires transparency and clear documentation from vendors. GenAI is increasingly being integrated into existing enterprise applications.

Risk 111

Risk Strategy Consulting Cost-Benefit 111

datapine

APRIL 16, 2019

Exclusive Bonus Content: How to be data driven in decision making? Download the list of the 11 essential steps to implement your BI strategy! Fundamentally, data driven decision making means working towards key business goals by leveraging verified, analyzed data rather than merely shooting in the dark.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

DECEMBER 11, 2024

The choice of vendors should align with the broader cloud or on-premises strategy. For example, if a company has chosen AWS as its preferred cloud provider and is committed to primarily operating within AWS, it makes sense to utilize the AWS data platform. Implementing ML capabilities can help find the right thresholds.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

APRIL 8, 2025

Concurrent UPDATE/DELETE on overlapping partitions When multiple processes attempt to modify the same partition simultaneously, data conflicts can arise. For example, imagine a data quality process updating customer records with corrected addresses while another process is deleting outdated customer records.

Snapshot 139

Snapshot Management Metadata Big Data 139

datapine

JANUARY 21, 2020

Enhancing the recruitment process with HR analytics tools can bring dynamic data under the umbrella of BI reporting, making feedbacks, interviews, applicants’ experience and staffing analysis easier to process and derive solutions. Utilization of real-time and historical data. Enhanced data quality. click to enlarge**.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Five years ago, I shared that the No.

Digital Transformation 141

Digital Transformation IT Data-driven Data Quality 141

CIO Business Intelligence

JUNE 5, 2024

Less than half of organizations have a coherent data management process in place before they launch AI projects, say IT leaders at Databricks and Astera Software, both in the data management space. Some organizations have little concept of data management, but still are launching AI projects.

Management 142

Management Strategy Data Strategy Marketing 142

CIO Business Intelligence

SEPTEMBER 12, 2024

An aircraft engine provider uses AI to manage thousands of technical documents required for engine certification, reducing administration time from 3-6 months to a few weeks. But this data is in disparate systems, silos, and various formats, hindering organizations from realizing its full potential.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. Preserve information: Keep your raw data raw.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

O'Reilly on Data

NOVEMBER 28, 2023

And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3% report that the difficulty of training a model is a problem.

Enterprise 342

Enterprise Testing Modeling Reporting 342

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. I’m encouraged by these results as it tells us that enterprises are really beginning to embrace the power of data to shape their organizations. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

SEPTEMBER 10, 2024

This AI-augmented approach ensures that no critical feature falls through the cracks and that accurate requirements documents reduce the likelihood of defects. Invest in data quality: GenAI models are only as good as the data they’re trained on -with GenAI, mistakes can be amplified at speed. Result: 80% less rework.

Software 124

Software Digital Transformation Testing Advertising 124

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

erwin

FEBRUARY 6, 2020

How to Automate Data Management. Here are our eight recommendations for how to transition from manual to automated data management: 1) Put Data Quality First: Automating and matching business terms with data assets and documenting lineage down to the column level are critical to good decision making.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

JANUARY 3, 2020

Constructing a Digital Transformation Strategy. To that end, data is finally no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IoT, ML, etc.), Mapping and cataloging these data sources makes this a manageable challenge.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

JUNE 12, 2024

“This does work and is in use today by a growing number of companies,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PwC. Most enterprise data is unstructured and semi-structured documents and code, as well as images and video.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. 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

JANUARY 23, 2024

These objectives overlap and are interdependent, but separating them in this way highlights the three steps CIOs should take to ensure their KPI strategies align with their three objectives. The art is asking the right questions and connecting experience metrics to the digital strategy and prioritized initiatives.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JANUARY 30, 2025

AI Governance should absolutely be part of your AI strategy from the beginning and not an afterthought. Metrics should include system downtime and reliability, security incidents, incident response times, data quality issues and system performance. Organizations need to have a data governance policy in place.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

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

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy.

Data Governance 110

Data Governance Management Metadata Risk Management 110

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. Data aggregation such as from hourly to daily or from daily to weekly time steps may also be required. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98