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A data asset management consultancy that reveals your most valuable data assets, so you know where to focus.

Today’s organisations are set up to manage their assets — roads, factories, machines, patents, food, people — to be successful. They’re great at making the right decisions about how to manage their assets.

But in our complex world, doing this well is getting harder and harder.

The key to making more of the right decisions is data. Everyone knows this. Business leaders always say data is a valuable asset, a critical asset for success. Unfortunately, data isn’t managed to the same standards as other assets.

Data is critical for decision-making, but is an invisible asset so is often treated as…


We all know that the daily amount of data generated is astounding, more than 25 quintillion bytes (that’s 30 zeros) according the World Economic Forum. A number that’s grown 10X since 2018. Every business relies on data for better decision-making. It underpins investment decisions, M&A deals, performance metrics and performance reporting. With data growing so fast, and it being a source of lasting competitive advantage, proven by businesses from the Rothschilds, in the 1700s, to Amazon today, how an organisation approaches and manages data is critical.

With so much of it around, it’s inevitable that the way data’s managed and…


Data Valuation Methodologies Keep Evolving

The oldest mathematical objects ever to have been found were bones of baboons with clearly defined notches between 25,000 and 35,000 years ago. While there are many theories as to what these notches represented, some believe that these are the earliest records of humans recording numerical data. Perhaps these marks signify that humans have understood the importance of historical data for longer than imagined.

Over thousands of years, the importance of data then evolved — particularly in retail and trade, where a value was attached to certain assets, whether it be products or services. …


Everyone says data is an asset, but few know what kind of asset data is

Data assets are talked about a lot, but few really understand what kind of asset data is. When you do understand it, you realise why most people don’t, and how we, the data community, can help them.

The word “economy” comes from the Greek roots oikos (household) and nemein (to manage). A smooth running household manages things well. In the economy, a smooth running business does the same with what we call assets.

The earliest human societies had to manage assets essential for survival, like food, water, clothing, shelter and weapons. With the agricultural revolution, humans developed new assets. Some…


Data is everywhere

Data is revolutionising business, changing the way organisations work, the services they offer and the decisions leaders make. This trend is obvious in born-digital businesses like Netflix, Amazon and Uber. Their data is used to make recommendations, manage inventories or match capacity (drivers) to demand (passengers).

Take insurance — where risk premiums can be adjusted based on customer insights. Think about black boxes on cars — data on driver performance and behaviour is streamed back to the insurance provider who can modify premiums based on the insights derived. …


Understanding the value of your data assets

Data is often talked about as a lake — organisations are either building or sitting on data lakes, but the problem with this analogy is that not all data in the lake is equally valuable. From a valuation perspective it is much better to think about data pools. Independent data assets — that may be combined into larger pools — but each data pool can create value in its own right.

Your customer data pool, for example, is valuable if it provides insights in purchasing patterns and behaviours. Your employee data pool is valuable because it allows you to better…


A lock surrounded by many keys
A lock surrounded by many keys

A year ago, we were warned that data accessibility was one of the major challenges facing Big Data organisations. Richard Joyce, a senior analyst at Forrester, said that “a 10% increase in data accessibility will result in more than $65 million additional net income for a Fortune 1000 company”. But have organisations heeded this warning and have they encouraged data sharing?

Unfortunately, not. Over half of data professionals still require their IT department to access the relevant data to fulfil their responsibilities. This is a problem. …


Lessons from Total Quality Management

What if a management approach existed that improved customer retention, made your organisation more efficient and gave you a competitive edge?

In the 1970s and 80s a new manufacturing philosophy began to emerge in industry: total quality management (TQM). TQM sought to minimise quality issues by taking an all encompassing approach to the product lifecycle, spanning the entire design, supply and manufacture process. Organisations that adopted TQM saw their competitiveness skyrocket.

Japan was one of the first nations that saw widespread adoption of these principles. In the 1950s and 60s the quality of products produced by Japanese organisations increased dramatically


More than 20 years after the completion of the Guggenheim Museum in Bilbao, modern organisations can learn key data architecture principles from its success.

The Guggenheim Museum Bilbao is one of the most admired works of contemporary architecture and some regard it as the greatest building of our time. It exemplifies the value great architecture creates.

Frank Gehry’s architectural genius transformed the city of Bilbao. Since the building opened it has attracted more than 20 million visitors, directly or indirectly employing 5000 people, and contributed more than $ 3.5 billion to the wider Basque economy.

Within 3 years the resultant…


The discipline of data management is now reaching a level of maturity that is revealing the true potential of data. As we illustrated in our post on the Anmut Data Maturity Ladder, it is clear that organisations have made significant strides to use data and analytics to improve profitability.

Many organisations, especially those subject to externally imposed regulatory requirements, such as the banks, have significantly improved their data governance. …

Anmut

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