Dataversity

JANUARY 5, 2024

The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […] The post Unstructured Data Management Predictions for 2024 appeared first on DATAVERSITY.

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Alation

OCTOBER 5, 2021

The situation worsens when each employee performs these calculations in standalone none-systematic solutions that are not synced or disconnected from the company’s centralized information hub. Roadblock #3: Silos Breed Misunderstanding. A data silo is an island of information that does not connect with other islands.

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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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phData

MAY 25, 2023

In the modern digital-industrial world, manufacturing companies generate vast quantities of data on a daily basis, encompassing logistics records, inventory information, supplier data and more. 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

APRIL 19, 2022

And in an increasingly remote workforce, people need to access data systems easily to do their jobs. Today, data dwells everywhere. Data modernization enables informed decision making by pulling data out of systems more reliably. It helps you identify high-value data combinations and integrations.

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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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Precisely

JUNE 2, 2023

As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

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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. What Are the Challenges With Fan 360?

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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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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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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

AUGUST 9, 2021

In larger companies, we often talk to folks in the business unit that most people traditionally refer to as Information Technology (IT). The post How Cloud Has Affected the Centralization vs. Every week, we find ourselves having a conversation about cost optimization with a wide variety of enterprises.

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Alation

DECEMBER 9, 2021

In an increasingly virtual world, the ability to retrieve critical information from anywhere at any time is becoming the norm. Cloud-based systems improve access to data, allowing collaboration and communication in real-time, as well as enhancing analytics by the elimination of data silos.

Data Governance 52

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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). At its best, a data catalog is a platform that supports collaboration – across job types, teams, and use cases. Conclusion.

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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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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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Data Governance Data Quality Data Silos Cloud Data 98

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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Alation

APRIL 7, 2021

We believe security, availability, and disaster recovery are paramount to any cloud service offering. A data catalog contains critical metadata (like schema information), which need to be secure and available to consumers at all times. Hence, the data catalog must be protected by enterprise-grade security.

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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

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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Data Silos Cloud Data 59

Dataversity

AUGUST 22, 2022

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

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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

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

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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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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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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Cloud Data Data Warehouse Database Machine Learning 52

phData

SEPTEMBER 27, 2024

Transitional modeling is like the Lego of the customer data world. Instead of trying to build a perfect, complete customer model from the get-go, it starts with small, standardized pieces of information – let’s call them data atoms (or atomic data). Let’s look at an example. Who performed the action?

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities. Amazon Redshift is a fully managed cloud data warehouse that trial scientists can use to perform analytics.

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