Dataversity

AUGUST 7, 2023

In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

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Dataversity

OCTOBER 25, 2021

It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure quality Data Governance. Let’s break […].

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Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

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Dataversity

JULY 12, 2022

Today IT teams are woefully understaffed and overwhelmed with dozens of pressing daily demands from across their organizations. They are under pressure to drive the performance, accessibility, and security of IT systems, services, and applications at a time when the uptick in remote work has made it even more challenging to support those areas.

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Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

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Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

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Dataversity

MARCH 25, 2021

The post 2021 Predictions: Data Protection and Mobility Basics More Important Than Ever appeared first on DATAVERSITY. Click to learn more about author Charles Burger. Around the globe, an audible sigh of relief was heard as we entered a new year and left 2020 behind for the history books.

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Dataversity

AUGUST 9, 2021

Click to learn more about author Jay Chapel. Every week, we find ourselves having a conversation about cost optimization with a wide variety of enterprises. In larger companies, we often talk to folks in the business unit that most people traditionally refer to as Information Technology (IT).

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Dataversity

JUNE 7, 2021

The enterprise of the future is built on data. Today’s business leaders generally understand that data is critical to rapidly increasing revenue and profitability. Yet most businesses still treat data as a siloed commodity and manage it poorly, leaving many employees unable to access important data […].

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Dataversity

AUGUST 22, 2022

And, of course, optimal data management is at the heart of that evolution.

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phData

MAY 25, 2023

Fivetran Fivetran is an automated data integration platform that offers a convenient solution for businesses to consolidate and sync data from disparate data sources. With over 160 data connectors available, Fivetran makes it easy to move supply chain data across any cloud data platform in the market.

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Alation

MARCH 28, 2023

Central to this is a culture where decisions are made based solely on data, rather than gut feel, seniority, or consensus. Introduced in late 2021 by the EDM Council, The Cloud Data Management Framework ( CDMC ), sets out best practices and capabilities for data management challenges in the cloud.

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Data Silos Data Quality Cloud Data Data Governance 52

IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

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Alation

NOVEMBER 30, 2021

One of the 14 key controls released with the EDM Council’s new Cloud Data Management Capability (CDMC) framework focuses on data sovereignty and cross-border movement. The focus of the capability is compliance with all laws and regulations for the handling of sensitive data within a specific jurisdiction where data resides.

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Data Governance Cloud Data Data Silos 52

Alation

OCTOBER 19, 2021

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

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Alation

DECEMBER 13, 2022

For example, the researching buyer may seek a catalog that scores 6 for governance, 10 for self-service, 4 for cloud data migration, and 2 for DataOps (let’s call this a {6, 10, 4, 2} profile). Not only do such products create data silos – they perpetuate a broken social system that excludes key stakeholders.

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Alation

APRIL 7, 2021

The cloud unifies a distributed data landscape. This is critical for breaking down data silos in a complex data environment. Enterprises can reduce complexity by providing data consumers with one central location to access and manage data from the cloud. Broad, Deep Connectivity.

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Data Governance AWS Data Silos Data Lakes 52

Alation

NOVEMBER 16, 2021

Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. According to Gartner, “Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.”.

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The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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phData

FEBRUARY 15, 2024

With the advent of cloud data warehouses and the ability to (seemingly) infinitely scale analytics on an organization’s data, centralizing and using that data to discover what drives customer engagement has become a top priority for executives across all industries and verticals.

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phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before.

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IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Therefore, customers are looking for ways to reduce costs.

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Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. 5 Benefits of Data Modernization. Advanced Tooling.

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Data Governance Cloud Data Database Data Silos 52

Alation

JULY 12, 2022

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. With a cloud environment, departments can adopt new capabilities and speed up time to value. Yet cloud data migration is not a one-size-fits-all process.

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