Precisely

SEPTEMBER 8, 2023

According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs. Perhaps even more importantly, manual processes inevitably mean that employees have less time to spend on higher-value initiatives.

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Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

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Precisely

JANUARY 5, 2023

To make a difference for your organization, your data strategy should address more than just raw data; it needs to lay out a roadmap for aligning the people, processes, and technology that can support a truly data-driven culture. Data governance plays a critical role in any effective data strategy.

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Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. Which business functions are using which set(s) of data?

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Data Governance Government Data Management Management 52

Snowflake

SEPTEMBER 27, 2023

At Snowflake, we are dedicated to helping our customers effectively mobilize their data while upholding stringent standards for compliance and data governance. Today, we are thrilled to announce the general availability of the Data Governance Interface in Snowsight.

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Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

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Monte Carlo

JULY 24, 2023

And, much like oil, data can be a tricky substance – it’s incredibly valuable when refined and put to use, but it’s a flammable mess if not properly managed. That’s where data governance frameworks come into play, acting as the safety protocols and refinery blueprints of the data world.

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Data Engineering Podcast

MARCH 9, 2020

Summary Data governance is a complex endeavor, but scaling it to meet the needs of a complex or globally distributed organization requires a well considered and coherent strategy. What is the migration path for an organization who has an existing data platform but needs to scale their governance and localize storage and access?

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Monte Carlo

JANUARY 17, 2023

Yet as organizations invest in more data and more data accessibility, keeping all that data safe and well-maintained has never been more challenging. That’s why data governance has become a must-have for data-driven organizations. Table of Contents What is data governance?

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Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

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phData: Data Engineering

SEPTEMBER 19, 2023

Data lakes have emerged as a popular solution, offering the flexibility to store and analyze diverse data types in their raw format. However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Want to learn more about data governance?

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Precisely

APRIL 11, 2023

Let’s explore some of the questions you must ask as you begin the process, then dive into the solutions for common challenges you may face. What existing data does the organization have to support my initiative? Where does that data live? Do I have access to the data?

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Precisely

APRIL 25, 2024

Jean-Paul sat down for an interview where we discussed his background as a former CDO, the challenges he faced, and how he developed his unique perspective and data governance expertise. In 2006, I joined Business & Decision, a French consulting agency with a European presence, to develop a data quality line of business.

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Knowledge Hut

MARCH 7, 2024

The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase.

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Big Data Bytes Data Governance Raw Data 98

Cloudera

MAY 10, 2024

Building an open data lakehouse with Iceberg delivers significant benefits increasing self-service access, ease of use, flexibility, and delivering unified security and governance for all data. It accelerates the entire data lifecycle from streaming and ingestion to processing, analytics, and AI.

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Government Data Governance Data Pipeline Big Data 96

Snowflake

APRIL 29, 2024

Recover: establish processes for rapid recovery after incidents to ensure business continuity. This translates to several key requirements and their associated benefits: More stringent technical and process-oriented security measures, enhancing protection for both FEs and their ICT third-party providers. Five Core Pillars of DORA 1.

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Transportation Data Governance Government Consulting 84

Snowflake

SEPTEMBER 11, 2023

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. The European Union’s General Data Protection Regulation (GDPR) , one of the more well-known and far-reaching of these privacy regulations, went into effect on May 25, 2018. 1, Section 3.2,

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Cloud Electronics Government Data Governance 78

Precisely

MAY 13, 2024

If you’re in the market for a data integration solution, there are many things to consider – including the flexibility of integration solutions, the availability of a strong network of service providers, and the vendor’s reputation for thought leadership in the integration space. How much time is required from me for this process? #3.

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Data Integration Metadata Amazon Web Services Data Governance 52

François Nguyen

JANUARY 18, 2021

To finish the trilogy (Dataops, MLops), let’s talk about DataGovOps or how you can support your Data Governance initiative. Last part, it was added the data security and privacy part. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.)

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Towards Data Science

JUNE 8, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals. Why is data quality ownership important?

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Data Governance Government Generalist Data Engineering 79

Monte Carlo

JUNE 6, 2023

Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. I have spoken to dozens of data leaders in the past year to understand how they approach data quality as part of their overall organizational goals.

Data Governance 98

Data Governance Government Data Data Engineering 98

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

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Data Governance Data Pipeline Government Data Cleanse 52

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

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Snowflake

FEBRUARY 15, 2024

We recognize the critical importance of quickly identifying and safeguarding sensitive data objects, and we consistently strive to provide solutions that help achieve these goals — from advancements such as classification and tag-based policies to the intuitive Data Governance UI.

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Precisely

JANUARY 9, 2023

The same research also highlighted that, for many businesses, the motivation to be data-driven has started to shift – moving away from more typical quarterly metrics such as increasing sales or lowering costs, to instead focus on challenges around ensuring long-term resiliency.

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Data Integration Data Governance Government Data 81

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

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Big Data Datasets Data Analysis Media 52

The Modern Data Company

JULY 18, 2023

The design should enable users to easily access, explore, analyze, and visualize data, empowering them to derive insights without extensive technical expertise. Data Accessibility and Usability Data products should provide seamless access to data for authorized users.

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Data Governance High Quality Data Government Data 69

Precisely

MAY 8, 2023

In any strategic undertaking, trusted data is key to making better decisions that unlock new opportunities for your organization. One of the first steps in the process is to access and replicate the data you need to the cloud for robust analytics and reporting. But the process doesn’t end there.

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Government Data Governance Data Integration Machine Learning 52

The Modern Data Company

JULY 31, 2023

However, the truth remains that a data team’s primary purpose is to drive profits for the organization. In real-world scenarios, data teams often lack transparency on business goals and the impact of their efforts on end consumers and downstream teams. To be truly data-driven, data must take center stage in the business.

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Government Data Governance Architecture Data Pipeline 98

Databand.ai

AUGUST 30, 2023

There are several factors that can impact data integrity, including human error, system failures, and deliberate tampering. To maintain data integrity, organizations implement various processes and controls, such as data validation, access controls, backups, and audits.

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Data Integration Data Cleanse Data Validation Data Governance 52

Snowflake

FEBRUARY 21, 2024

Hybrid Tables combine transactional and analytical storage, leveraging the same cloud services and query processing layers as standard tables. Hybrid Tables leverage the same cloud services and query processing layers as standard tables to provide a unified experience supporting the rich Snowflake features that you know and love.

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The Modern Data Company

FEBRUARY 15, 2023

Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind. Data debt also costs companies resources, time, and effort.

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Government Data Governance Raw Data Data 98

Databand.ai

JULY 19, 2023

Data lineage tools are not a new concept. However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important?

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Pipeline-centric Data Governance Metadata Government 52

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

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Data Lake Data Storage Government Kafka 87

Cloudera

JUNE 27, 2023

Adopting an MDA is more efficient and cost effective than legacy data architectures which are siloed, poorly governed, with vast redundant data sets and data processes that are expensive and expose the company to risk. Simplify, and where possible, automate governance. Reduce customer complaints.

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Precisely

DECEMBER 21, 2022

In insurance, data is everything. Accurate, consistent, and contextualized data enables faster, more confident decisions when it comes to your underwriting, claims processing, risk assessments, and beyond. Let’s explore the impact of data in this industry as we count down the top 5 insurance blog posts of 2022. #5

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Insurance Data Governance Healthcare High Quality Data 52

Databand.ai

AUGUST 30, 2023

Building a Winning Data Quality Strategy: Step by Step Eitan Chazbani August 30, 2023 What Is a Data Quality Strategy? A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date.

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