If, like me, you have worked in the technology industry for many years, you’ve likely heard more times than you can remember that islands of information are major obstacles to business productivity. Siloed data is to be avoided like LA traffic and convenience store sushi; and “sharing is caring,” especially when it comes to empowering enterprise-wide processes and workflows.Read More
For key stakeholders of an online retailer, the best time-to-value software is the one that cuts time to market and reduces manual processes to a minimum.
Automation is the key to success in online retail. And having already invested in digital asset management, marketing automation systems and advanced customer profiling tools, the IT Director will likely want to leverage data further to reduce complexity and manual processes. Complexity can hide redundant data, which B2C companies should be careful to avoid in the post-GDPR era, and manual work is by nature prone to human errors.
The wealth of data calls for syndication and qualification.Read More
It’s much harder to be original than it is to follow in the footsteps of others. And, when it comes to delivering a successful IT project, this is not a bad thing. Thomas Edison once said, "I have not failed. I’ve just found 10,000 ways that won’t work."
When asked how he could compose with so much originality, Mozart replied, "I never tried to be original in my life." He "simply" built upon what many others before him had done.
Similarly, when you’re starting your data journey, it’s wise to use the lessons, learnings and experience of others to help guide your project. The result will be fewer mistakes, a smoother delivery and a greater chance of success.Read More
Recently, I arranged for a parcel to be shipped internationally. The online ordering and payment process was simple, and my package was scheduled to be collected from me and sent the next day; in time for the event it was intended. I thought I was pleased...Read More
Data is a powerful business enabler. You can use it to improve customer engagement, reduce time to market and increase sales—that is, if you get it into the hands of the right people, when and where they need it.
Unfortunately, we all know that data can easily fall into the hands of the wrong people. With a data-driven business environment comes an increased risk of data breaches, cyber attacks, phishing and more. If your data is fragmented and being distributed across many different systems and applications, the risk only increases.
Effective data management can help keep your data out of reach from anyone not authorized to view, edit or compromise it in any way, making it easier for you to manage data security and data control.
Here is how Master Data Management supports your data security efforts.Read More
What the foundation of your Master Data Management (MDM) system is built on will depend on the implementation style you agree gives you the best chance of project success. And this will largely be determined by your business situation when it comes to data management.
There are a few different implementation styles to choose from with the main differences being whether you control your data from a central hub or synchronise the hub with your existing data sources.Read More
If you’re considering investing in a master data management (MDM) solution, what are the basic features it should contain, and why? And more crucially, how will each of these elements come together to benefit you and your organization?
In this blog post, learn about six master data management tool capabilities that you should look for before investing.
Product Information Management (PIM), DAM, EAM, PII, data enrichment, matching and linking. Not quite sure what all those abbreviations, terms and hypes mean and how they relate to Master Data Management (MDM)? Get your MDM definitions in one place in this A-Z of MDM.Read More
These days, many companies are looking to invest in new and ground-breaking technologies to radically transform and improve their internal processes. Despite the digital waves washing across enterprise shores, companies still need to do more in order to govern their data so they can gain value from it. Customer data needs to breach its data silos to transform itself into customer insight. Product data needs to escape spreadsheet management and join harmonised business processes to become timely, personalised customer offerings. The management of data that concerns physical assets has also joined the ranks of key data that needs to evolve in how it is managed, in order to support digital transformation.
Cloud storage, regulatory compliance, security breaches – the list of factors that have driven companies to make changes to the way they manage data in recent years is endless. Combine this with the dramatic increase in the data most organizations now hold, and you end up with a highly challenging situation (and potentially missed business opportunities).
Take a look at your own data scenario. If any of the following sounds familiar to you, it may well be you have a data problem that needs to be fixed. Soon.Read More