Submitted by Emy Carr on 29th November, 2012
In the previous article, we discussed the importance of mapping your business requirements prior to selecting a solution. Today, I’d like to explore our take on how one of our solution partners, IBM, can help you attain your single view.
Submitted by Emy Carr on 11th September, 2012
In previous blogs, we discussed some of the challenges faced by organisations in achieving a single view of their business data. In solving those challenges, organisations typically leverage solutions by a range of software vendors in the market.
Before we explore the different solutions from our leading vendor partners and how they address the lack of a single view of critical data, let’s first assess your business requirements. To do this, we suggest you take the following steps:
Submitted by Emy Carr on 18th July, 2012
Earlier this year, I had the opportunity to share my insights with the audience at the 2012 Master Data Management and Data Governance Summit in Sydney. Since presenting on Journey to a Single View of Master Data – In Search of the Holy Grail, a number of participants have asked if I could summarise the key points highlighted in the presentation – I hope you’ll find them useful.
Submitted by Emy Carr on 18th July, 2012
Earlier this year, I had the pleasure of attending the 7th annual Master Data Management & Data Governance Summit in Sydney. It was definitely one of the best MDM-centric events I’ve attended, with the line up featuring a range of exciting presenters (including the Father of MDM, Aaron Zornes) and new products (like the advanced Multi Domain MDM solution from Orchestra Networks).
The main theme at this year’s Summit was Multi Domain Master Data Management:
Submitted by Emy Carr on 15th July, 2012
Data size explosion is hard to avoid with poor archiving strategies, multiple data environments and external factors such as compliance requirements. The increased use of social networking tools like Twitter and Facebook in recent times has amplified the volume of unstructured data for organisations to capture, accelerating the pace of data explosion.
Submitted by Emy Carr on 15th May, 2012
From our years of work in the industry, we understand that businesses rarely stay with the same system throughout their life span. As the business case for data migration grows stronger, the need for integration emerges.
Submitted by Emy Carr on 15th April, 2012
In my years of work in data quality, I’ve often come across the same problem – that the incentive given to data acquisition specialists is based on their speed of acquiring the data rather than the quality of the data. This problem can play out in many ways – inaccurate reporting, data duplication, and lower campaign reach – all of which result in inefficiencies for the business in question.
Submitted by Emy Carr on 12th March, 2012
The Data Warehouse Institute (TDWI) has published statistics showing that over 90% of failed Business Intelligence projects (BI) result from a lack of business involvement. In fact, this is true not only for BI, but for any single view organisational initiatives such as Enterprise Data Warehouse (EDW) and Master Data Management (MDM).
Like Business Intelligence projects, the cross-system, cross-business unit nature of EDW and MDM initiatives make it extremely challenging to involve stakeholders and keep them actively engaged throughout the course of the project.
Submitted by Emy Carr on 21st February, 2012
Mobile data is becoming increasingly prevalent every day, with more and more organisations leveraging mobile devices. In his article[1], Alan Joch raises the very good point that IT managers should look closely at how well they’re maintaining the quality of the information accessed by their mobile workers.
Submitted by Emy Carr on 16th February, 2012
I recently read an article that summarised the Master Data Management and Data Governance Summit in New York City late last year[1]. This article (and its Author Rajan Chandras) eludes to the fact that Master Data Management is no longer new, and that people are now comfortable enough with MDM that they are ready to move to unstructured Master Data.
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