CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Quality is job one.

Unstructured Data 123

Unstructured Data Data-driven Visualization Data Quality 123

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. What’s your data strategy?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.

Analytics 122

Analytics Data Science Statistics Unstructured Data 122

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

NOVEMBER 11, 2021

Let’s take a look at some of the key principles for governing your data in the cloud: What is Cloud Data Governance? Cloud data governance is a set of policies, rules, and processes that streamline data collection, storage, and use within the cloud. This framework maintains compliance and democratizes data.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

OCTOBER 12, 2021

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. Build a roadmap for future data and analytics projects, like cloud computing. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

CIO Business Intelligence

MARCH 29, 2022

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . And the problem is not just a matter of too many copies of data. Reducing data waste.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

DataKitchen

JUNE 24, 2021

Before we jump into a methodology or even a data strategy-based approach, what are we trying to accomplish? Automate the data collection and cleansing process. Tyo pointed out, “Don’t do data for data’s sake. There is no data strategy, it’s only a business strategy.”.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

IBM Big Data Hub

AUGUST 4, 2023

Risk of data swamps A data swamp is the result of a poorly managed data lake that lacks appropriate data quality and data governance practices to provide insightful learnings, rendering the data useless. Key steps include: Define business and data objectives –What are your company’s goals?

Data Architecture 60

Data Architecture Data Lake Machine Learning Data Governance 60

TDAN

DECEMBER 15, 2020

It’s reasonable today to say that a business doesn’t have much of a chance at success without a strong data operation. On the other hand, however, it’s a mistake to assume that this means every business needs to spend heavily on advanced technology relating to data collection. Rather, it comes down to good management.

Management 52

Management Data Collection Technology Data Quality 52