Christopher Bradley

Ever had discussions during a Data Governance Strategy concerning who "owns" the data?
This story may help

Data and information are everywhere: organisations across the globe are creating a
veritable deluge every minute of every day as they go about their business. And these
vast quantities can quickly come to threaten your viability and profitability. But the
world’s smart organisations are not seeing this information as a threat; instead, it’s an
opportunity that can give you a significant advantage over your competitors – so long
as you handle it correctly. And that’s what… Show more

Data and information are everywhere: organisations across the globe are creating a
veritable deluge every minute of every day as they go about their business. And these
vast quantities can quickly come to threaten your viability and profitability. But the
world’s smart organisations are not seeing this information as a threat; instead, it’s an
opportunity that can give you a significant advantage over your competitors – so long
as you handle it correctly. And that’s what Information Management is all about.

Information Management presents different challenges from other asset management
disciplines, such as finance and personnel management. These activities are all about
managing scare quantities of the asset, where for Information Management, the opposite
is true. The difficulty is in identifying the valuable information so that it can be exploited.
And if you are able to do so, the rewards can be significant, namely that you enable
your staff to make decisions more quickly and with much greater confidence than
they can currently.

To get there, you need to go on a journey that will guarantee the information your
organisation is exploiting is discoverable, accurate, trustworthy and timely. Fail to do this,
and you’ll just end up making bad decisions more quickly. But get it right, and you’ll be
on the road to delivering better products and services in the face of shrinking budgets,
having more satisfied customers and, ultimately, enjoying greater profits.

IPL’s Best Practice Guide helps you understand the nature of the information problem,
and take your first steps towards doing something about it. Your information is there to
be exploited – and now’s the time to do it. Show less

Every company can be global. Every company can have distributed supply-chains. Every company is hunting for emerging market growth strategies. Every consumer is comparing products and searching for the best service at the best price.

Everyone can be informed, but not everyone has the tools to ensure that knowledge is available everywhere before it is needed. Knowledge drives every decision you and your staff take; from day-to-day operational choices made by your employees, to strategic… Show more

Every company can be global. Every company can have distributed supply-chains. Every company is hunting for emerging market growth strategies. Every consumer is comparing products and searching for the best service at the best price.

Everyone can be informed, but not everyone has the tools to ensure that knowledge is available everywhere before it is needed. Knowledge drives every decision you and your staff take; from day-to-day operational choices made by your employees, to strategic changes made by directors. Having the best knowledge available to your decision-makers is vital. Yet much is difficult to find: in people's heads, on individual computer desktops, or buried deep in personal email archives.

Knowledge Management breaks down these barriers, putting information in the hands of every employee by capturing and sharing it effectively; ensuring your staff can find what they need quickly. Show less

How many CIO's really take responsibility for INFORMATION management?
This article describes the rise of the Chief Data Officer role & suggests that several CIOs will fall foul of increasing Information regulatory & compliance issues.

Data Modelling has been around for over 30 years. So, why is it that in many organisations the benefits of data modelling still need to be “sold” and in others the big benefits simply fail to be delivered?.
Chris Bradley looks at some of the common misconceptions and examines todays Information landscape to see if and where Data Modelling is relevant.

Data Governance; a vital component of IT Governance.
This article describes the relationship between IT and Data Governance & describes 3 typical drivers for Data Governance.

The “big data” phenomenon is driving transformational, technological, scientific, and economic changes; and "information taming" technologies are driving down the cost of creating, capturing, managing and storing information.

We’ve all seen how organisations have an insatiable desire for more data as they believe this information will radically change their businesses. They are right, but data by itself is useless. Only the effective exploitation of this vast mountain of data to convert… Show more

The “big data” phenomenon is driving transformational, technological, scientific, and economic changes; and "information taming" technologies are driving down the cost of creating, capturing, managing and storing information.

We’ve all seen how organisations have an insatiable desire for more data as they believe this information will radically change their businesses. They are right, but data by itself is useless. Only the effective exploitation of this vast mountain of data to convert it into helpful information, knowledge and applied decision making – will help it reach its true potential. Show less

The abundance of Business Intelligence tools together with greater regulation and compliance requirements has created new challenges for today’s enterprise BI solutions. Chris Bradley considers the role Data Virtualisation and Open Source could play in your BI solution.

The discipline of data modelling has been with us for over 3 decades, but common issues prevent many organisations from realising real business benefit. Chris Bradley explores seven common non- technical mistakes.

Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse - without them dozing off?

Whether you are a businessperson or an IT professional, you can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a… Show more

Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse - without them dozing off?

Whether you are a businessperson or an IT professional, you can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives.

Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. Show less