Too often, an organization’s data is managed across multiple platforms. These platforms can be challenging to integrate, difficult to update, and managing them is often time-consuming and costly.
This is why more organizations are turning to a Mission Data Fabric (MDF) platform to manage and leverage their data. With an MDF platform, organizations can integrate their existing data management systems, regardless of where the data is maintained — in database tables, data lakes, file systems, sensor data streams, images, or cloud-based object stores. The technology an MDF platform brings to the team minimizes redundancy and complexity, allowing agencies to increase efficiency, cut costs, and optimize data analysis.
The Dynamics of the Solution
Each organization has a unique data set, and many have come to rely on custom integrations to organize and oversee mission needs. This often results in a more a complicated (and expensive) system, which requires long, extensive upgrades and updates. In addition, custom solutions also aren’t incredibly dynamic, causing headaches when objectives evolve and as pipelines and target systems change. That’s why an MDF platform is so effective. Above all, it provides a cohesive approach to combining multiple types of data sources and analysis tools, including reusable code modules and GOTS, FOSS, and COTS analysis applications.
Benefits of Mission Data Fabric
With a surge in machine learning and artificial intelligence algorithms, an MDF platform efficiently supplies information to data scientists, supporting advanced analytical processes. Agile, flexible, and designed to meet rising trends and initiatives, the platform is built to provide dynamic solutions. Whatever your mission, MDF offers a real solution to complex data sets and systems. Lastly, the MDF platform enables configurability with varieties of UIs and applications.
Choosing a Provider
Once you decide to implement an MDF platform, there are several things you should consider. In order to get the most value, the platform must:
- Seamlessly integrate multiple types of data systems, formats, and structures while supplying data to existing mission applications
- Natively support machine learning and artificial intelligence while simplifying “data wrangling” and progressing projects through to completion
- Support all mission-essential locations, on-premise, in-cloud computing systems, and forward-deployed locations
- Quickly and accurately process and synthesize data across multiple systems, allowing for “push down” processing and growth
- Provide management tools to efficiently build data “pipelines” between data stores and analytical applications, while interfacing with existing security protocols and tracking data lineage
- Provide tools to manage and monitor the data analysis process
- Ensure data continuity and replication
Increase Efficiency and Gain Control
Employees across the spectrum, from senior management to entry-level analysts, will benefit, by being able to access everything your organization needs in one central location. In addition, with empowered personnel, you’ll also have enhanced data synthesis that leads to rapid, more informed decision making, giving your organization an edge over competitors or adversaries.
Harvest and leverage your existing data where you need it, when you need it.
With an MDF platform, there’s no need to access multiple data points over several systems. You will be able to combine existing systems and stop relying on archaic, expensive systems that waste human resources, time, and money.
Your mission, personnel, and data requirements are continually evolving – your technology should, too.
If you have questions about Mission Data Fabric or finding a provider, please contact us. We’ll be happy to show you how your organization can run more efficiently.
Related resources / posts:
- What is Machine Learning and Why Should You Care
- What Is Data Intelligence blog series.
- DoD Cloud Acquisition Guidebook
- Ingesting IoT and Sensor Data at Scale