The security of your company’s data is paramount. This is true not only to eliminate chances of security breaches, but also to be able to reliably produce effective data storytelling.
Whether it’s personal information, business records, or sensitive financial data, ensuring the safety and integrity of your information is crucial. Let’s delve into two key aspects of data management: safely storing outdated data and developing effective data storytelling.
How to Safely Store Outdated Data
Data Cleansing:
Data cleansing is a crucial process in maintaining the integrity of your stored information. It involves identifying and rectifying errors or inconsistencies within datasets. When it comes to outdated data, regularly cleansing your databases ensures that irrelevant or obsolete information is promptly identified and removed.
Automated data cleansing tools streamline this process, employing algorithms to detect and correct errors efficiently. Utilizing these tools helps maintain the accuracy and relevance of your stored data, reducing the risk of using outdated or incorrect information.
Data Enhancement:
Rather than discarding outdated data, consider enhancing it. Data enhancement involves updating and enriching existing datasets with additional information. APIs (Application Programming Interfaces) play a pivotal role in this process, allowing you to connect to external databases and retrieve the latest data to augment your existing records.
For example, if you have customer information, integrating with an API that provides updated demographic data ensures that your records remain current and comprehensive. Automation can further optimize this process, allowing for regular updates without manual intervention.
IBM z/OS Mainframes:
For enterprises dealing with vast volumes of critical data, IBM z/OS mainframes are stalwarts in ensuring data security. These mainframes offer robust encryption, access controls, and auditing capabilities, providing a secure foundation for storing and processing sensitive information. Regularly updating and patching mainframe systems is essential to fortify defenses against emerging threats.
How to Develop Effective Data Storytelling
Data Storytelling:
Data storytelling is the art of presenting complex data in a compelling and understandable narrative. Effective storytelling transforms raw data into actionable insights, aiding decision-making processes. APIs play a vital role in data storytelling by facilitating seamless integration of diverse datasets.
Automation, coupled with APIs, enables real-time data updates, ensuring that your narratives are based on the latest information. This dynamic storytelling approach keeps your audience engaged and informed, fostering a deeper understanding of the data’s implications.
Automation for Data Presentation:
Automating the presentation of data further enhances storytelling. By using automation tools, you can create interactive dashboards and reports that automatically update with the latest information. This not only saves time but also ensures that stakeholders have access to the most recent data trends and analyses.
The safety of your data relies on strategic approaches to both storage and presentation. Data cleansing and enhancement, supported by APIs and automation, keep your datasets accurate and relevant, ensuring that your narratives are not only informative but also up-to-date and actionable.
Anchor Software has the tools and know-how to keep your data in the best shape possible–everything from data cleansing and enhancement to APIs and automation tools and advanced tools for high-end systems like IBM z/OS mainframes.
