White Paper: InfoTrellis
With technologies like Customer 360 and Mobile Device Management (MDM), you can obtain an accurate assessment of customers by extracting customer details from all possible data sources.
Customer data management is becoming more complex than ever. Hence, it is recommended to choose the right technology for the most comprehensive view of the customer and to integrate the data within the various technologies.
Read more about MDM and Customer 360 in this report that includes:
1. The Purpose of MDM and Customer 360.
2. The Benefits of Customer 360.
3. The biggest challenges in developing a 360-degree view of the customer.
4. The Challenges of Unstructured Interaction Data.
By: Intersec Group
The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models. The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the myriad of technology choices available as well as, the sheer size, volume, and velocity of data. Key questions from this whitepaper: What are the common questions and challenges that the operators are facing when starting a Big Data project? What are the best practices to avoid being trapped in the ever‐lasting big data project that fails to generate any revenue? Should the big data project be carried out by the IT department or should it be led by a dedicated organization, under a new function like a Chief Data Officer, distinct from traditional IT?
Competing in today's highly competitive environment requires enterprises to have an agile technology infrastructure to support customer service and to achieve the greater corporate objective of improving the customer experience. In contact centers, choosing between cloud and premise can be confounding. We advocate a decision framework and the same fundamental decision framework for contact center technology can be used to both identify system requirements and review proposals. This whitepaper highlights the nine fundamental decisions give by the framework that will lead to the best solution for you. It includes: Can your organization tolerate occasional contact center outages? Is there a strong incentive to fund the contact center with operational budgets? Is there a strong incentive for consistent maintenance costs or are occasional ‘spikes’ associated with upgrades acceptable? Does your contact center see significant variability in load? Is optimizing contact center staffing levels a key challenge?
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
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 Cloud Computing ?
A type of internet-based computing, Cloud computing refers to delivery of computing services over the internet or "the cloud" instead of using local storage and computing. The different computing services include servers, storage, databases, networking, software, applications, and analytics. Cloud computing eliminates the need for hardware acquisition, maintenance, installation of software.