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Digital Transformation

Creating A New Governance Era with a Data Operating System

Creating A New Governance Era with a Data Operating System

Companies need a new plan for governance--one that completely rethinks how to protect data while democratizing access. Read on to discover what it's going to take to build a new era in data governance.

Forget ELT and ETL Pipelines – You Need DataOS

Forget ELT and ETL Pipelines – You Need DataOS

ELT and ETL pipelines are standard data management methods, but a data operating system from DataOS can improve data quality and efficiency beyond the ELT. Read our latest post to find out how.

How A Data Operating System Disrupts in the Right Way

The Role of DataOps in Data Management

Many people think DataOps is simply DevOps applied to data, but in reality it's so much more. It's a management framework that considers the unique aspects and needs of data. Read on to discover how DataOps can streamline, automate, and continuously improve your data lifecycle.

How A Data Operating System Disrupts in the Right Way

How A Data Operating System Disrupts in the Right Way

We're entering the golden age of data science. Companies know they need digital transformation but are wary of disrupting business operations. Luckily, with a data operating system like DataOS, they can transform their data stack while maintaining business productivity. Find out how.

Data Access is (Almost) More Important Than Data Itself

Data Access is (Almost) More Important Than Data Itself

Having all the quality data in the world won't matter if stakeholders can easily access the data they need for data-driven decision-making. Find out why data access is almost more important than data itself and what companies can do to free their data safely.

3 Ways The Modern Data Company Thinks Differently About Data

3 Ways The Modern Data Company Thinks Differently About Data

The old way of managing data isn't working anymore. It prevents enterprise scale and invites unnecessary security risk. Read on to find out three ways The Modern Data Company thinks about data differently and why it matters.

The Core Principles of a Modern Data Platform

Legacy Systems Aren’t the Enemy — Your Current Architecture Is

Legacy systems hide valuable insights, but most organizations don’t have the right architecture to access them. Read to discover how a data operating system can integrate Legacy systems without rip and replace.

The Core Principles of a Modern Data Platform

The Core Principles of a Modern Data Platform

Many products on the market claim to be a data platform, but a real data platform embodies these three non-negotiable core principles. Read on to find out what they are and why organizations should care.

How Retail Can Build a Security-First Data Architecture

How to Unlock Data for Operational Reporting

Operational data offers a rich source of insight, but only if companies can unlock it. Read on to find out the one key ingredient required for unlocking operational data.

How Retail Can Build a Security-First Data Architecture

The Secret to Successful Inventory Management? Real-Time Data

Inventory management in distribution and supply chain requires quality and consistent real-time data. Here's how to make that happen even with complex supply chains, partner data, and tightening regulations.

The Key to Digital Transformation in Healthcare—Data Integrity

You Don’t Have to Abandon Customer 360

Despite calls to abandon Customer 360 due to privacy and data quality concerns, companies don't need to give up the dream just yet. Find out why data siloes in retail are unique and how a data operating system could offer the right solution.

The Four Pillars of DataOS®

The Four Pillars of DataOS®

The Modern Data Company is building its legacy on four pillars for effective data management. In this round-up, we give you our most powerful resources so far to help you build your ultimate data strategy in 2022.

Using Collaborative Intelligence to Future-Proof Business

Using Collaborative Intelligence to Future-Proof Business

Enterprises are adopting agile methodologies to reduce bulk and adapt quickly. Collaborative intelligence makes it possible. Here’s how.

Reducing Risk and Increasing Data’s Value in Healthcare

Four Ways Companies Can Build Next-Level Analytics Capabilities

Companies can build next level intelligence by leveraging four distinct pillars. This is what enterprises need to know to build powerful analytics.

Bulletproof your data strategy from the business side

Bulletproof your data strategy from the business side

A bulletproof data strategy requires more than IT support. The business side completes that strategy with these three actions.

We Have Data - Why Can't We Use It?

We Have Data - Why Can't We Use It?

Organizations have mastered collecting data, but unlocking insight has proved to be challenging. It's time to discover why this difficulty occurs and what businesses can do to unlock their data's full potential.

It’s Time to Make Integration Worries Obsolete

It’s Time to Make Integration Worries Obsolete

The past few decades have seen an explosion in the number of applications designed to help organizations manage data. It has become common knowledge that data is valuable—each shiny new data application promises to solve a problem, and if organizations are lucky, multiple problems.

Technology and Data in Urban Design and Urban Management

Technology and Data in Urban Design and Urban Management

Data is transforming city planning. But how do cities manage all the data at their disposal? A data fabric of course. Here’s how technology is spurring cities of the future.

Announcing: The Modern Data Company

Announcing: The Modern Data Company

A bold new approach to data—It’s DataOS

Unclutter Your Data in 6 weeks

Don’t power your innovative solutions with bad data. Power them with secure, governed and high-quality data every time.

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