The value of data is progressively being recognised as being essential to corporate success, but the challenge has and will continue to be the turning of data into usable and meaningful information. This is becoming more difficult as the amount of data generated increases exponentially. As Eric Schmidt of Google recently said, "Every two days now we create as much information as we did from the dawn of civilization up until 2003." According to Information Week, 37.5% of large organizations said that analyzing big data is their biggest challenge and that organizational silos are the single biggest barrier to success with big data. Agility DataBroker, a computer software framework from Arjuna, can provide organisations with a mechanism to solve current data-related problems, including the proliferation of data in the cloud, while establishing a framework that will allow them to move towards the Smart Company of the future.
Most companies consist of a number of departments each of which needs to use data from a different perspective. As a result of this segmentation, data can be duplicated, errors can proliferate, money can be wasted and decisions are often made without access to the information embedded in the data available. Joined-up thinking is difficult without joined-up data to base it on.
Agility DataBroker allows a company to specify what subset of data is required, where that data goes, who may access it under what circumstances and to combine that data with other data sources so that meaningful information can be extracted. Silos of information, in different forms, focused on specific functions such as CRM, supply chain management, and development data, can be collated through Agility DataBroker, and made available to users based on service agreements which enforce access policies. Data becomes available in a usable form by those who need access to it within the policies defined by the data owners. These policies can address all aspects of access e.g. security, pricing, licensing, and can be maintained dynamically within the software. Agility DataBroker can be initially used for integrating as few as two silos of information, but can scale to enterprise-wide use.
Many companies have inflexible legacy systems that impede data integration as well as silos of information stored in the cloud. Agility DataBroker can be used to extract data from the heterogeneous data sources, clean it, collate it, analyse it and distribute the resultant meaningful information to those users who need it, in the form that they require.
Data can be cross-checked or combined with external data sources to better extract meaningful information. In a world where the amount of data is growing faster than it can be used, Agility DataBroker provides a mechanism to improve services, cut down on waste, and generate information that is meaningful and usable.
No matter where the data is stored, or in what format, Agility DataBroker can be used to extract the data, clean it, combine it with other data sources, analyse it and present it to users in accordance with strictly enforced but dynamically customisable policies that implement the service agreements dictated by legislation, governance and good practice.
If you own data and wish to make it available to the cloud, then defining your access policies within Agility DataBroker means that you can more easily service your customers while enforcing security, licensing and pricing restrictions.
Agility DataBroker is a framework that allows an organization to unlock the value of data through its controlled consolidation, analysis and distribution. Agility DataBroker allows for data to be extracted from any combination of data sources, whether they sit in the Cloud or locally, under strictly enforced, but dynamically changeable service agreements which govern its use and deployment.
