Video: CTO Tendü Yogurtçu on the Data Challenges of Today’s Customers
Syncsort’s CTO, Tendü Yogurtçu, recently sat down to speak with SiliconANGLE analyst Peter Burris for a CUBE Conversation at theCUBE studio in Boston, MA. They spoke about the data challenges as businesses move to more advanced analytics, how they can gain better operational certainty, and how they achieve greater use of their data.
It all comes down to the data. Everyone is trying to take advantage of the digital transformation that we find ourselves in. The problem is that once these new architectures are in place, accessing the data is a bigger challenge than originally thought. These critical data sets, often enterprises supporting companies in the financial services, banking, and insurance industries, represent decades of investment and can sometimes be difficult to access.
The Move from High Value Traditional Applications
Making data and applications available for next generation platforms is a challenge that many organizations face at some point. Their “high value traditional applications” have a certain expectancy in terms of performance and the data within them is extremely valuable.
There are a few hurdles that these organizations must get over when implementing next generation platforms:
Accessing the Data
Policies and security around data must be preserved when the data is available for advanced analytics. This is the case for data on-premises or in the cloud.
Trusting the Data
Making sure that you can deliver trusted data becomes a big challenge. If you create models with bad data, you have bad models with bad data inside. Machine learning and artificial intelligence depend on the data and the quality of the data. Additionally, with Blockchain, the effect of bad data is permanent.
Speed of Synchronizing and Delivering the Data
You want to create an architecture that can be agnostic and also be able to deliver at the speed the business is going to require at different times. Data should be available to different platforms instead of focusing on specific applications. The goal is high quality data movement that leads to high quality data delivery that the business can be certain in.
At the end of the day, businesses have to extend what they can currently do with a digital business approach. It’s alright to have to replace certain elements but you should not end up with less functionality as you move forward with next generation platforms.
Also, make sure to download our eBook, “The New Rules for Your Data Landscape“, and take a look at the rules that are transforming the relationship between business and IT.