Steve Shebuski, VP of Digital Strategy
Guiding businesses through their digital transformation journey
Netezza reached end-of-life support on July 1, 2019. If you're still using Netezza for data warehousing and analytics, you need to look at your options before your stuck in a situation that you can easily avoid.
Here are four questions to get you started.
- Does your platform extend beyond just master data management?
- Is machine learning and AI embedded within the architecture?
- How efficiently can the data be virtualized, consumed, and mobilized into meaningful action?
- Is security built into the architecture at ALL levels?
1. Extending Beyond Data Management
Having a platform to manage data has become a necessity. It's what that platform does beyond the typical management functions that keeps you ahead of your competitors.
Your data management system should allow you easy access to real-time data that can be shared between different systems. Having accurate communication between systems provides business leaders with more information before they make important decisions.
Make sure you chose a system that shows you the right data to guide your business strategy. Leveraging your data properly will grow your current business and help you reach new customers.
2. Embedded Machine Learning & AI
Intelligent automation, machine learning, and AI technology have advanced exponentially in the last few years. It's turned from a novelty to a norm in many businesses.
Having this technology embedded into the architecture of your business platform opens up the opportunity to expand your business, learn more about your customers, and increase efficiency.
AI not only allows you to make informed, immediate decisions, but it also helps you prepare for the future. Predictive technology helps you uncover new opportunities, foresee upcoming trends, and scale your business as it grows.
3. Utilize Your Data Efficiently
Many companies are spending countless hours compiling their data when they could be using that time to make data driven decisions.
When selecting your platform, take into consideration what data it collects and how it displays your data. Will the data be relevant to your business? Is it displayed in a way that is easy to understand and helpful?
Just because a system is new and shiny, doesn't mean it will help your business grow in the long run. Make sure you can properly consolidate, analyze and visualize your data with your analytics platform.
There are platforms out there that go above and beyond just basic analytics. It lets you to manage and audit to allow for easy imports, detection of duplicates, and bulk deletion. Some even let you develop custom data management tools to perfectly fit your business.
4. Data Security
Compromised data is a concern for every business. When looking for a data management system that will protect your data from all sides, it's important to look at the architecture of the system.
To avoid losing your data, having a platform with encryption capabilities, malware protection, and secure networks will greatly improve your security. Storing your data on a cloud platform also protects it from getting lost when physical damage to your servers occurs.
Data should also be well protected by architectural security measurements such as key logs, role & record based data access, IP restrictions and variety of other methods.
Migrating to a new platform is a big step. There is a lot to consider and it quickly becomes overwhelming. If you have any questions about finding a data strategy that's right for your business, please reach out to us.