Data audit with FlockData

Data audit copySolve your Data Audit Challenges using FlockData

No matter what type of applications you are running, data audit is one of the highest-value, yet most overlooked, functions that your application can incorporate.

How does data audit work?

Data audit is a simple process whereby:

  1. Transactions occur in their normal systems, most typically business applications and OLAP databases.
  2. A copy of the transaction is captured in some form of log file.
  3. That document can optionally be enriched with meta data, such as system of record information, name of the user or process that created or modified the data. This results in what’s often called a domain document.
  4. The domain document is sent to FlockData via web services API.
  5. FlockData processes it.

How does FlockData process a data audit document?

FlockData uses a proprietary process for parsing and interpreting domain documents.

  1. First, FlockData receives and stores the entire document.
  2. Second, meta-data is parsed and plotted on your business graph.
  3. Third, the document is compared to the existing repository to calculate differentials, versioning and timeline plotting.
  4. Finally, the document is indexed for full-text search visibility.

Compliance. And more.

Too often, audit is controlled by compliance, and compliance is an afterthought. Developers built audit functions to capture the minimum amount of information in order not to damage application performance. This approach leads to minimally viable (or incomplete) audit tools that don’t provide any additional benefit or value to the business.

FlockData’s approach, using the steps outlined above, starts to build insight via indexing systems that allow for powerful analysis and exploration of your data.

What was that data last week?

Another benefit of the data audit is being able to answer typical user questions about data. How many times have you opened an application, looked at a record, and thought to yourself, “Wow – that looks different.” Then you try to understand how the information changed. This usually involves backtracking through application or database transaction logs to reconstruct the change, because most applications and databases are designed to show you one thing: the current value of the data. Data audit records can help you answer that question. FlockData takes those records and makes them visible for you via search and API query.

Data audit is a horizontal service

You can add a data audit function via simple API call. Build it into any application you need. Learn more about application development using FlockData here.

Want to learn more about building data audit solutions with FlockData? Contact us today!

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How can data audit help you?

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