White Paper: Service Objects
Collecting visitor and customer data through a variety of channels allows you to quickly grow your contact list. However, receiving high quality data isn’t necessarily a given.
Whatever your touch points are with customers or prospects – including customer data, contest entry forms, phone surveys, lead generation and point of sale interactions – some data will be inaccurate, incomplete, or fraudulent.
So how can your company avoid the challenges associated with bad data? Download this white paper and learn how to identify areas that could benefit from improved data quality, realign your data quality goals to improve your bottom line, optimize your human capital and even help the environment.
By: I-Sprint Innovations
In the digital era, financial institutions need to meet and exceed the expectations of a new generation tech savvy users with digital broadband access to on-demand cloud-based services via a wide range of mobile devices. In order to earn customers’ trust and confidence in their digital channels, financial institutions will have to secure identity and manage cross-channel access while leveraging mobility and the cloud. This whitepaper provides insights on how financial institutions can secure identity and data in a hyper-connected world where the data center perimeter has blurred and the enterprise attack surface has radically expanded with increased cloud adoption and mobility. Case studies illustrating how financial institutions are implementing prudent steps to engage customers across multiple channels Ultimate aim of the omni-channel initiatives Emerging methods of authentication How to boost security and compliance while ensuring differentiated customer experience in omni-channel service delivery
Reconciliations form the foundation of a tightly controlled finance or operations department in any organization. Transparent, up-to-date and accurate financial data is not just essential for regulators or auditors, but it is increasingly an important tool for the executive branch to shape corporate strategy. Building an automated reconciliation framework can be an expensive, complex and time consuming process, tying up crucial business and IT resources with often the wrong result being delivered. This whitepaper explores the benefits of using an automated reconciliations solution, by adopting an iterative 6-step approach to perfecting your financial controls regime. It also explains the typical benefits your firms may receive in the immediate period post implementation, and recurring thereafter. Key takeaways from this whitepaper: Different reconciliation deployments The perfect Golden Source for all of your financial control data Most common pitfalls of manual or semi-automated reconciliations and financial data management
What is Database ?
Database is a concise and arranged collection of similar data that is usually accessible to many simultaneous users. Database can be stored on a system and examined by a program called database management system (DBMS). One of the most important aspects of a DBMS is its relational model which is also known as relational Database management system (RDBMS)
What is Data Management ?
Data management is the development and execution of policies and procedures in order to manage the information lifecycle needs of an enterprise ensuring the accessibility, reliability, and timeliness of the data for its users. Data Management enables organizations and enterprises to use data in: Organizing the enterprise data, Storing and preserving data for future re-use, Making data ready to use anytime, Share data with colleagues
What is Storage ?
Computer data storage often known as storage or memory is a technological process through which digital data is stored on a storage device, and recorded for an indefinite period of time. A storage device is a core function and fundamental component of any computer which holds the data and information temporarily or permanently; and it can also be external to a computer, server or any computing device.