Beyond Data and Graphs Putting Analytics to Work in the Contact Center

December 15, 2018

A treasure trove of customer interaction data is available that can be used to improve business processes, increase revenue, as well as be used to improve the customer experience (CX). In reality, however, most companies leave actionable intelligence on the table, unable to gain the benefits of understanding and improving the customer’s journey, or to improve the CX, inform best practices and achieve targeted business outcomes. A primary barrier preventing businesses from reaping the value of their channel data is that analytics platforms, which may be good at collecting data from the various contact channels, do not synthesize information in a way that is easily consumable and interpretable by platform users, limiting the ability of the business to turn insights into action.

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Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

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Trends in Data Architecture

whitePaper | May 15, 2017

In today’s data-driven economy, the definition and scope of Data Architecture is changing and evolving at a rapid pace. Data Architecture is as much a business decision as it is a technical one, as new business models and entirely new ways of working are driven by data and information. Blockchain, for example, has the opportunity to revolutionize the way the industry works with financial transactions. Big Data platforms now allow organizations to process and leverage information on a scale not possible with earlier technologies, allowing for new discoveries and the ability to process information beyond the scale of typical relational systems. Internet of Things (IoT) technologies provide the opportunity to harness information that was once considered simply “noise” or “exhaust,” such as sensor data, log files, and more.

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Making Sense of Big Data

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Many hospitality companies are using big data today to understand trends and obtain additional customers. In addition, many more hospitality companies want to comprehend the value of obtaining big data or correlating big data with data from their own systems. For many years now, hotels For many years now, hotels and resorts have used big data to understand current customers and obtain new customers by matching attractive customer profiles with current guests. Some of the older big data companies seeded their initial information with government census data, incoming surveys from warranty cards and buying mailing lists. Popular zip code lookup tools, help properties understand their current customer profile and seek additional customers similar to that profile.

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Next Generation Big Data Analytics

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With the rapid adoption of Cloudera’s enterprise data hub and technologies such as Impala and Search, businesses are turning to Zoomdata to provide a visualization and analytical layer that is not only capable of stream processing billions of records, but also delivers an interactive experience designed for the business user Some of the key benefits of Zoomdata’s Next Generation big data Analytics platform include the following:Big Data: Zoomdata supports the reporting, analytics, and exploration of billions of records of structured and unstructured from multiple data sources.

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Big Data, Big Innovations

whitePaper | January 7, 2019

With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.

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Data Lake: The Definitive Guide

whitePaper | June 20, 2018

It would be an understatement to say that the hype surrounding the data lake is causing confusion in the industry. Perhaps, this is an inherent consequence of the data industry’s need for buzzwords: it’s not uncommon for a term to rise to popularity long before there is clear definition and repeatable business value. We have seen this phenomena many times when concepts including “big data,” “data reservoir,” and even the “data warehouse” first emerged in the industry. Today’s newcomer to the data world vernacular the “data lake”is a term that has endured both the scrutiny of pundits who harp on the risk of digging a data swamp and, likewise, the vision of those who see the potential of the concept to have a profound impact on enterprise data architecture. As the data lake term begins to come off its hype cycle and face the pressures of pragmatic IT and business stakeholders, the demand for clear data lake definitions, use cases, and best practices continues to grow.

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BUYER’S GUIDE TO OPEN SOURCE BIG DATA

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This Buyer’s Guide discusses how to analyze and evaluate the big data technology landscape so that you can make the right decisions to meet your business objectives. Although this guide will work through examples of how to evaluate specific technologies, the core purpose is to provide a framework to discern the best choices for your particular business. Deciding which big data technologies to deploy in a field that is boiling over with innovation requires stepping back to gain a larger view and applying system-wide thinking about your business needs today and in the near future.

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Spotlight

Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

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