MONETIZING BIG DATA CUSTOMER CASE STUDY WITH UNILOG

Paxata

commercializing or sharing their data for revenue. Unilog, a global technology company specializing in enterprise e-commerce solutions and product content services in the B2B marketplace, is an example of one company who successfully monetized upstream manufacturing by enriching, cleaning and joining data needed by its customers – using Paxata’s data preparation solution.
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Spotlight

Exploding onto the scene about a decade ago, groupbuying service companies have become a force in the eCommerce space. Enticing customers with exclusive deals and discounts on goods and services from cell phone cases to all-inclusive resorts, these timesensitive deal websites have made their mark on their industry. For one such company, the secret to their success is data. Real-time location sharing gives an opportunity to display geographically relevant deals; historic transactional data allows past purchases to dictate what offers show up in emails; and customer behaviors are tracked, noting which offers are browsed and purchased. The data collected and analyzed helps their engineers to build the ultimate experience for their customers—and all of it depends on timing, technology, and delivering the right offer to the right customer to drive business.

OTHER ON-DEMAND WEBINARS

Enabled Data Quality and Data Governance

infogix

Analytics-Enabled Data Quality and Data GovernanceJoin us for a FREE 1 hour webinar where we will review how statistical controls, machine learning and other analytical approaches can validate data and enforce governance in smarter ways, thus allowing for a more proactive approach to trusting and understanding data across the enterprise. We will also provide a demonstration of how this can be achieved quickly to achieve quick wins.
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SAP HANA : Future of Data Warehousing and Bigdata Analytics

SAP HANA

Webinar will discuss about: History and present of SAP Business Model. Overview of Technology underlying SAP HANA (In Memory Computing) , Bigdata, Space for Analytics. SAP HANA Modelling Environment (Architecture + Setting up Environment). Data warehousing Models (Star schema + concept of master data). Basic Graphical Views (attribute, analytical and calculation Views). Data base operation in Hana tool.
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Introducing Cloudera Data Science Workbench for HDP

Cloudera

Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
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Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

TDWI

Businesses today need fast, scalable, and agile data and analytics, and cloud-based solutions are proving critical to satisfying these requirements. They enable organizations to rapidly and easily spin up systems and services for collecting, managing, and analyzing data. More important, cloud-based solutions deliver value from “data gravity”the surging volumes of new data created in the cloud by social media, the IoT, multichannel customer behavior, and other activity.
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Spotlight

Exploding onto the scene about a decade ago, groupbuying service companies have become a force in the eCommerce space. Enticing customers with exclusive deals and discounts on goods and services from cell phone cases to all-inclusive resorts, these timesensitive deal websites have made their mark on their industry. For one such company, the secret to their success is data. Real-time location sharing gives an opportunity to display geographically relevant deals; historic transactional data allows past purchases to dictate what offers show up in emails; and customer behaviors are tracked, noting which offers are browsed and purchased. The data collected and analyzed helps their engineers to build the ultimate experience for their customers—and all of it depends on timing, technology, and delivering the right offer to the right customer to drive business.

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