Top 5 Data Transformation Trends To Watch In 2019

Updated: Dec 7, 2020

By: John Hammond | Data Architect

Cloud technology has quite literally taken over the IT enterprise landscape bringing forth a multitude of changes to how data is stored, utilized, and leveraged within organizations.

Thanks to its ease of use, cloud technology platforms provide fewer limitations on utilization and accessibility of data sources. In addition, tasks and workflows are seamlessly automated which brings information technology staff closer to administration and less into the day-to-day drudgery of manual task execution.

However, data is ever-changing and the need for organizational wide data access with large amounts of low-cost storage is now a top priority for most IT departments and organizations as a whole.

These five data transformation trends are changing the way businesses operate — is your company staying ahead of the curve?

Cloud-based platforms provide easy access to organizational data

Cloud applications utilize data to improve and streamline the delivery of services throughout the entire IT business process from network security rule changes to automated planning and resource management.

ServiceNow IT Service Management Suite, for‌ ‌example, utilizes a service-oriented viewpoint of all levels of business. For example, through the automation of common processes, organizations can leverage vendor and client data in order to improve and refine the entire ITSM process and its performance at a much-improved rate.

In fact, the rate of improvement when both automation and refined improvements are implemented together have been upwards of 20 percent for the entire organization.

Artificial Intelligence is helping organizations make smarter decisions

The use of artificial intelligence to intelligently make business decision based upon past data accurately is becoming the predominant method in business to make accurate predictions. Using data to route information from one department to another is a prime example of enterprise data and AI working together to make a more productive environment.

The newest version of the NOW Platform, Madrid, incorporates an intelligence automation engine called Virtual Agent which bases decisions on past data to prioritize and route tasks then prevent issues based upon detected indicators. This data then creates accurate benchmarks that can greatly reduce the cost of administrative labor and decrease the time it takes for employees to complete tasks.

High data access speeds are essential for companies to operate efficiently

Data migration from traditional RDBMS database models to alternate models such as NoSQL or MongoDB increase both performance and data access speeds. This increase, as the size of our corporate data requirements and retention times increase, has become an almost prerequisite. The added speed and flexibility of a non-ACID based database engine is becoming more commonplace in the corporate environment.

Data security compliance is a global requirement

Data security compliance with the European Union’s GDPR and other regulatory requirements is being addressed at all levels of data and data storage. Implementation of security rules and procedures preventing both data breaches and misuse is now required by law in most countries. This is being reflected in applications throughout all industries with legal ramifications and fines enforcing the need for immediate action.

Data visualization is aiding organizations to make better business decisions.

Data lake acceptance by most companies is leading to a larger acceptance of real time analytics, data discovery, and data science in everyday business processes. This adoption is due to the need for shared, real-time data for analytics and cost of storage. This allows organizations to transition from expensive data silos into a lower cost, real-time solution for analytics and data analysis. Organizations are aligning data, people, and goals through the power of ServiceNow Performance Analytics. This solution allows key stakeholders to derive value from their data through clear and visual dashboards of important organizational KPIs.

With the massive push for automation in all forms of information technology data has taken on many new aspects in 2019. The need for massive big data storage at the enterprise level with requirements for faster processing and accessing make 2019 a year of changes for data and big data platforms.

About John Hammond

John is a twenty-five-year veteran of the Information Technology industry with a background in engineering and business. He has held the position of a network engineer, data engineer and architect, developer, consulting company owner, corporate vice-president, and government contractor. He's a Microsoft MCITP: DBA, MCSE, Security +, SANS Certified Incident Handler, and CISSP with many years of training in cloud technology under Azure.

Interested in learning more about these data transformation trends? Reach out to our team.