At Orchid we understand that every organization’s context is unique. However, our experiences in federal and commercial arenas have allowed us to identify a number of universal “pain points” common to users across government and industry.
Collecting data from multiple sources can be extremely frustrating. Successful integration and organization depends on the various sources adhering precisely to the previously agreed upon format. But anyone who’s worked with large databases and has dealt with external sources knows that it’s just not feasible to rely on that assumption. What can you do to overcome this issue?
Data Staging and/or Custom-Developed Solutions will enable you to easily reconcile the various data source formats through less scrutiny of the data, creating significant cost and time savings.
In many ways, traditional (RDBMS) databases are becoming simply that - “traditional” - without consideration given to alternate methods. Solutions are often proposed based on what’s off the shelf instead of what the end-user needs. Why must you accept the limitations inherent in someone else’s technology or software?
Any size data sets should be able to migrate seamlessly and allow effective application of business, technology, and transformation rules.
Periodically, distorted or incomplete data pours in and you’re left to make sense of it, determine its usefulness, and figure out if it can be matched with existing data to form or complete an identity. What’s more, ignoring the “bad data” is not an option. What if it pertains to safeguarding the borders of the United States?
Sometimes any fraction of information can prove useful. Through enhanced searching and reporting capabilities that eliminate the need to code queries or create endless tables, you can use this “bad data” to solve interface issues and uncover design flaws.
In many cases your infrastructure wasn’t originally designed to cope with the volume or velocity that it may now need to handle. What advantage is there in dedicating time and resources to a design that is outdated as soon as it’s deployed?
Your infrastructure is the foundation of your system. It should be designed with the mindset that, in one or two years’ time, new technologies can be seamlessly integrated. All platforms should and can be conceived with that insight. Flexibility and scalability is possible when designed correctly from the start.
Sometimes the problem isn’t too few resources but rather a less than complete understanding of all the options that are out there. Purchasing off-the-shelf products and customizing them to the extent your budget allows may seem cost effective at the time, but spending resources on products designed for general use and not your requirements could prove costly in the long run.
The strategic use of open-source technologies and Software as a Service (SAAS) can produce massive cost savings, freeing up valuable budget for other areas of your organization. What’s more, this approach typically requires fewer resources for lifecycle support and maintenance, creating further savings.
A particular headache unique to many Government organizations is the substantial lack of data ownership. Relying solely on a contractor to search and query your data is inconvenient, burdensome and time consuming. Perhaps more critically, it creates a barrier between you and your data. Without a full understanding of the information you’ve collected, how can you make truly informed decisions and smart relations with your data?
By creating interfaces that allow you to query your own data and rely on contractor support only when necessary, you can enhance the power of your data while decreasing resources spent on costly personnel.