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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IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

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Data Governance Data-driven Strategy Management 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

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TDAN

FEBRUARY 7, 2024

It involves the gathering, classifying, and analyzing of large volumes of data. Given its very nature, it’s the perfect field for data analytics, which can speed processes up and assess the quality and reliability of data. Due […]

Data Analytics 52

Data Analytics Analytics IT Data Quality 52

Data Virtualization

JUNE 9, 2022

Reading Time: 4 minutes Join our discussion on All Things Data with Fred Baradari, Federal Partner and Channel Sales Director at Denodo, with a focus on how Data Governance and Security are the real champions in bringing IT transformation. Listen to “The Role of.

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Data Governance IT Sales Data Integration 52

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. Data governance. “I He compared governance to the U.S.

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Data Analytics Analytics Metadata Data Governance 52

Cloudera

DECEMBER 20, 2022

Going into more technological aspects, the data platforms that must support this decision-making must be able to operate in a hybrid environment in which there is integration with the applications that reside in the company’s own data centers, as well as the possibility of working in public cloud environments. .

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Optimization Data Analytics Analytics Cost-Benefit 81

Alation

SEPTEMBER 8, 2022

When it comes to the cloud, you want verifiable value — not a data diaspora. Yet there’s more to a cloud migration strategy than, well, simply choosing to moving data to the cloud: How long will migration take? How can you ensure the migration will be safe and and compliant with data governance policies? Amazon EMR.

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Data Analytics Analytics Data Governance Strategy 52

Alation

MAY 19, 2022

Luckily, data fabric and data mesh work in perfect harmony, and together go a long way toward automating data governance in the enterprise. Data Governance. On the topic of data governance, Gartner did not mince words: Traditional data governance has failed the average business.

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Metadata Data Analytics Analytics Data Governance 52

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Analytical Repository. Conformed Data (Conformed Dimension). Data Capability. Data Capability Framework (Data Capability Model).

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Data Analytics Analytics Machine Learning Data Governance 98

Alation

JUNE 9, 2023

We were thrilled to attend Gartner Data and Analytics Summit 2023 , on May 22–24 in London. D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science.

Data Analytics 52

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TDAN

APRIL 18, 2023

Tenets to “Thriving” As a CDAO In the first part of this blog, I wrote about challenges Chief Data Analytics Officers face in their role. They form a guiding framework to build sustainable data-driven […]

Data Analytics 52

Data Analytics Analytics Data-driven Data Strategy 52

TDAN

APRIL 4, 2023

Today, almost every organization across industries recognizes they should hire Chief Data Analytics Officers (CDAOs) to lead the business with data-driven transformations. More CDAOs exist worldwide than ever before in the entire history of data.

Data Analytics 52

Data Analytics Analytics Data-driven IT 52

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. They also need to establish clear privacy, regulatory compliance, and data governance policies. Data Governance, Data Management

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TDAN

NOVEMBER 14, 2023

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

Data Governance 52

Data Governance Data Strategy Strategy Data Analytics 52

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

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Data Analytics Analytics Data Governance Experimentation 49

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

DataKitchen

JANUARY 5, 2021

The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance.

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Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

APRIL 26, 2024

At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades. That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security.

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Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

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Data Analytics Analytics Data Governance Visualization 290

Alation

FEBRUARY 13, 2020

By leveraging Google-like smart search to find data assets; using automation and self-learning instead of burdening people with the need to manually update metadata in multiple places; and ensuring that metadata is maintained by the whole data community and is not dependent on a centralized IT team.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

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Analytics Metadata Data Strategy Optimization 92

CIO Business Intelligence

MARCH 4, 2024

The human political element plays a significant role here as well, as local data owners push back on relinquishing control over domain-specific data assets to centralized data governance authorities. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

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Insurance Strategy Data Governance Data Integration 98

bridgei2i

APRIL 28, 2020

I really enjoyed talking with Doug – one of the world’s top influencers in data analytics. He’s an expert in data and analytics strategy who advises CXOs and senior business leaders on data strategy, data monetization, data governance, and analytics best practices.

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CIO Business Intelligence

JANUARY 22, 2024

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. This is the overarching guidance that drives digital transformation.

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Unstructured Data Digital Transformation Data Strategy Modeling 98

Cloudera

OCTOBER 19, 2022

In the Hybrid Data Architectures survey report conducted by 451 Research, a part of S&P Global Market Intelligence, nearly 60% of telco organizations reported having repatriated data/analytics workloads from public cloud environments to on-premises/colocation data center environments during the past 12 months.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

IBM Big Data Hub

JUNE 8, 2022

However, a foundational step in evolving into a data-driven organization requires trusted, readily available, and easily accessible data for users within the organization; thus, an effective data governance program is key. Why you should automate data governance and how a data fabric architecture helps.

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Data-driven Enterprise Data Governance Data Lake 58

DataKitchen

JUNE 12, 2023

The DataOps Manifesto is a useful set of principles to guide your understanding of these powerful, grounded, industry-spanning ideas on improving technical team productivity, delivery quality, and cycle time in data analytics. So today, another fundamental idea needs to be defined and given the manifesto treatment: the Data Journey.

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Testing Data Lake Dashboards Data Science 130

Alation

MARCH 8, 2022

Data is an abundant resource, but it’s difficult for users to find the right data they actually need. Self-service data analytics helps workers understand what data is available, but more importantly, the details behind the data so they know how to use it. Data Analytics Governance: What You Need to Know.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

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Machine Learning Enterprise IoT Big Data 277

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives. “Few

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Digital Transformation Data-driven Business Objectives Strategy 145

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Dataiku

AUGUST 31, 2020

Therefore, data, analytics, and IT leaders must prepare for a multi-cloud and hybrid cloud world, where data governance, security, compliance, and integration become more complex than ever before.

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Data Governance Data Analytics Analytics IT 66

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

CIO Business Intelligence

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets. Artificial Intelligence

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Unstructured Data Interactive Data-driven Consulting 75