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Data ROI Starts at the Source

Data ROI Starts at the Source

Inaccurate data affects the bottom line of 88% of organizations, leading to an average loss of 12% of revenue. This loss of revenue comes from insufficient data to inform and drive business goals. Data quality starts at the source — which is why it’s so important how...

Modern: A Brand Big and Bold

Modern: A Brand Big and Bold

At The Modern Data Company, we’ve been working behind the scenes to launch our refreshed look and we are so excited to finally reveal it. It's taken several months of careful consideration, wild creativity, and sweat equity from our team members. It may seem like...

MIT CDOIQ: The Modern Data Company Introduces DataOS

MIT CDOIQ: The Modern Data Company Introduces DataOS

We recently had the opportunity to present our vision for a new data paradigm at the 15th Annual MIT CDIOQ Symposium in Cambridge, Massachusetts at the iconic MIT Computer Science and Artificial Intelligence Laboratory building. The symposium brought together like...

Scaling Analytics Through DataOps

Scaling Analytics Through DataOps

There has been tremendous growth in demand for and acceptance of advanced analytics, data science, and artificial intelligence over the past few years. While this progress will be a great thing in the long run, it has also eclipsed companies’ abilities to effectively...

The Core Principles of a Modern Data Platform

The Core Principles of a Modern Data Platform

It seems that every big player in the data industry today claims to be a real “data platform,” or at least indispensable in building one. Finding a way through this sea of options requires some clarity about what a “modern data platform” is and does. A modern data...

How to Unlock Data for Operational Reporting

How to Unlock Data for Operational Reporting

Supply chain and distribution complexity requires big data, but big data introduces its own set of challenges. Without the right tools, companies can set up a vicious catch-22: gather plentiful data to unravel operational bottlenecks, but get swamped in data and...

You Don’t Have to Abandon Customer 360

You Don’t Have to Abandon Customer 360

Data silos are where insights go to die. Everyone knows this, but the retail sector experiences unique challenges when it comes to bridging those gaps. Customers demand more personalization and better interactions with brands, making overcoming data silos one of the...

Harnessing the Power Behind the Healthcare Data Boom

Harnessing the Power Behind the Healthcare Data Boom

The future of business lies in data, and any company ill-prepared for the ride risks getting left behind. This is true for nearly every sector, but it’s especially concerning for companies in healthcare. Estimates suggest that a single patient generates up to 80...

Building the Next Phase of the Data Lake

Building the Next Phase of the Data Lake

Introducing Modern’s Newest Series: Data Lakes Aren’t Dead Data Lakes are dead. We desperately need data lakes. Gartner declares data lakes are over. Data lakes are surging. It wasn’t too long ago that everyone was excited to build a new type of centralized data...

The Four Pillars of DataOS

The Four Pillars of DataOS

The Modern Data Company is building its entire legacy around four distinct pillars. These pillars take on modern business challenges around data and digital transformation. When Modern’s clients invest in DataOS, Modern’s data operating system, they gain tools to...

How Zero Trust Protects a Vulnerable Supply Chain

How Zero Trust Protects a Vulnerable Supply Chain

The Industrial Internet of Things is shaking up the world of manufacturing and all of its supply chains. Thanks to IoT devices and the steady rollout of 5G connectivity, companies have an unprecedented look into the health of the shop floor, can monitor for...

Why You Need a Solution, not a Service

Why You Need a Solution, not a Service

Enterprises today have lots of data. This includes legacy data, partner data, transactional data, third-party data, and more. Most enterprises purchase many point solutions trying to create a complete and flexible data ecosystem. The problem is that the demands for...

The Power of Regular Data Health Checks

The Power of Regular Data Health Checks

Companies capture data like champions, but there’s always a sneaking suspicion that they aren’t using the data to its fullest potential. Unfortunately, this isn’t just the companies’ imagination (or paranoia). A startling amount of data goes totally unused, not simply...

How Data Fabric is Changing Data Privacy for Good

How Data Fabric is Changing Data Privacy for Good

Data privacy is a challenging issue. With an increasingly wary public, the knee-jerk reaction is to lock data down. This is a mistake, because it restricts data analysis and all the benefits it can bring. Companies must balance privacy concerns while freeing up their...

Bulletproof Your Data Strategy from the Business Side

Bulletproof Your Data Strategy from the Business Side

The conditions for strong, data-driven decision making don’t come only from IT. The business side also needs a plan to ensure that data becomes a central part of business operations and that they don’t unknowingly tie the hands of their best innovators. C-suite and...

Data Governance Series: Part 1 – Data Timeliness

Data Governance Series: Part 1 – Data Timeliness

Timeliness is a metric of data quality, measured by when data is available compared to when it is needed for analysis. Harvard Business Review estimates that poor-quality, out of date data costs US businesses $3.1 trillion per year. Yes, you read that correctly...$3.1...

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,...

5 Signs Your Organization is Becoming Data-Driven

5 Signs Your Organization is Becoming Data-Driven

Adopting a data-driven culture is priority number one for many organizations. However, it can be challenging to know whether this shift has been accomplished. Becoming truly data-driven isn’t just about the technology. A company must create a data-driven culture to go...

We Have Data – Why Can’t We Use It?

We Have Data – Why Can’t We Use It?

Making the shift to data-driven infrastructure seems like the obvious choice for enterprises. However, significant challenges exist in extracting real value from the data companies already have. Data complexity along with the combination of legacy systems coupled with...

Four Things We Learned in 2020

Four Things We Learned in 2020

We know it's February, but… we needed a moment. We know you did, too. It's been six weeks since the weirdest, most challenging year we've seen in a long time — a year full of tragedy, uncertainty, and a few moments of hope here and there. It's safe to say that we...

Data Fabric Is the Answer To Your Agile Dreams

Data Fabric Is the Answer To Your Agile Dreams

Operating as an enterprise in the modern world of data can be bewildering. Startups are moving at the speed of real-time data because they can — they’re new and don’t have years of legacy systems that are both necessary and causing bottlenecks. Shifting to data in...

The Lock and Key of Data Literacy and Data Governance

The Lock and Key of Data Literacy and Data Governance

Without a data-literate team, your company doesn't have a chance of becoming data-driven. "Speaking data" is one of the biggest skills in the coming years as more technical skills (think SQL or R programming) become embedded in the tools themselves, demonstrating what...

Announcing: The Modern Data Company

Announcing: The Modern Data Company

A couple of years ago, we started working with a fortune 100 retail company in the US. They had invested 100's of millions of dollars towards data management with no measurable ROI. Basic questions like "how many customers do I have?" were not answered accurately;...

3 Reasons Enterprises Need Data Normalization

3 Reasons Enterprises Need Data Normalization

Data is one of the biggest assets enterprises have, but this valuable asset doesn't have the same precedent as other aspects of business. Businesses often don’t know what to do with their data, treating it as something that can work itself out with some finagling from...