Data Management - Aureole Systems

Navigating the Challenges of Data Lifecycle Management

Data is one of the most valuable assets a business can have. Managing this data throughout its lifecycle can be challenging. Data lifecycle management (DLM) refers to several processes and policies. They govern the handling, storage, and eventual disposal of data.

Businesses generate and store vast amounts of data. As this happens, the importance of effective DLM becomes more critical. Navigating the challenges of data lifecycle management requires a comprehensive approach. One that balances security, compliance, and operational efficiency.

Guide to Improving Your Company’s Data Management

Data is the lifeblood of modern businesses. It fuels insights, drives decision-making, and ultimately shapes your company’s success. But in today’s information age, data can quickly become overwhelming.

Scattered spreadsheets, siloed databases, and inconsistent formatting. All these create a data management nightmare. This hinders your ability to leverage this valuable asset.

Let this guide serve as your roadmap to data management success. We’ll explore the challenges of poor data management. Then, outline best practices for improvement. Lastly, we’ll equip you with strategies to transform your company’s data landscape. Read on to go from chaotic clutter to a well-organised, accessible source of truth.

Goodbye, Chat and Call History: Changes Coming to Google Business Profiles

If you’re managing a Google Business Profile, listen up—there are some changes on the horizon. Google recently announced that they’re waving goodbye to chat and call history within Business Profiles. But what does this mean for you? Let’s break it down.