Part of the DaaS methodology is to deliver relevant data in a timely and secure manner through either public or private cloud platforms based on open standards. Being able to act upon timely, accurate information is critical to win business in this highly competitive marketplace. IT must walk a fine line between ensuring governance and securitizing data without handcuffing the Business users with unnecessary bureaucracy that slows them down. If DaaS can work, it’s the perfect answer.
DaaS means agile, fast, low cost access to valuable, reliable data. This sounds relatively simple, so why is it so complicated? Well, for DaaS to deliver on its promise, many challenges need to be overcome, such as:
Translating the vision of DaaS into a reality requires the collaboration of processes, applications and technologies that collect, clean and prepare enterprise data from multiple sources. This will ultimately help achieve the goal of low-cost analysis and critical, timely decisions based on meaningful, trust-worthy data.
In addition to data ingestion, another key component of DaaS is data transformation, which is the process of converting data from one format to another. This is essential to allow Business users to explore and access multiple sources of data (from various file formats) in terms that they understand. Without extensive knowledge of the underlying data model and data definitions, Business users can query using language that they understand, thus making reliable data consumable.
If your company is interested in making data more reliable, and consumable, Next Pathway can help. Please feel free to contact us for more information.