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Teradata (NYSE: TDC), the main information and analytics firm, final evening honored 33 high-performing prospects and partnerships with Teradata EPIC Awards. The award ceremony was held on the Teradata PARTNERS Convention and celebrated the progressive use of information and analytics to form optimistic enterprise outcomes.
Teradata Chief Government Officer Vic Lund and Government Vice President and Chief Product Officer Oliver Ratzesberger officiated on the 10th annual ceremony, with Teradata Government Vice President, Worldwide, Peter Mikkelsen and Teradata Government Vice President, Americas Gross sales and Companies, Karen Thomas becoming a member of them to congratulate the winners.
An impartial panel of judges evaluated all EPIC Award submissions to find out the winners. The panel included trade innovators, chief info officers, advertising specialists, technologists, educators and know-how journalists. This yr’s winners are
- China CITIC Financial institution, winner within the class of Analytical Excellence
- RajComp Information Companies Ltd, winner within the class Huge Information Excellence
- David Covert at Financial institution of the West, winner within the class of Collaboration and Innovation
- HSBC UK with Celebrus Applied sciences, winner within the class of Buyer Journey Excellence
- UnitedHealth Group/Optum, winner within the class of Built-in View of the Enterprise
- Qualcomm, winner within the class of On the Edge with the Web of Issues
- The Directorate Normal of Tax for the Republic of Indonesia, winner within the class of Operational Excellence
- SAS and Cleveland Clinic, winners within the class of Huge Information Intelligence
- Fuzzy Logix and Gilead Sciences, Inc., additionally winners within the class of Huge Information Intelligence
- Cognizant Expertise Options and a Main Telecom, winners within the class of Enterprise Perception
- Clintworld GmbH and A1 Telekom Austria AG, additionally winners within the class of Enterprise Perception
- IBM GBS and a Main Vitality Firm, winners within the class of Enterprise Intelligence
- Dataguise, Inc. with eBay, additionally winners within the class of Enterprise Intelligence
The next checklist offers extra element for the EPIC Award winners by class.
Buyer Awards
Class: Analytical Excellence
The profitable answer demonstrates improved enterprise decision-making by growing the accuracy and pace of analytics-driven enterprise insights. It additionally leads to delivering measurable enhancements in income, organizational efficiency and productiveness.
Winner: China CITIC Financial institution
The advertising group at China CITIC Financial institution wanted to enhance buyer administration and engagement throughout the client journey and the client life-cycle. The problem was to leverage information, analytics and know-how to drive innovation in buyer engagement and in so doing, rework the retail banking enterprise. Cross-functional groups labored intently to create the enterprise technique, develop the analytical necessities, and implement the massive information answer, by which know-how augmented by Teradata served because the intelligence hub for advertising insights and enterprise execution. The outcomes had been optimistic: improved buyer expertise, product innovation, optimized processes and enhancements within the financial institution’s funding recommendation. Enterprise outcomes additionally included 1) internet revenue development of 33 p.c over two years and a couple of) internet revenue contribution development of 75 p.c over two years. Notably in 2017, the retail banking enterprise contribution has been seven p.c increased than the identical interval within the prior yr.
Class: Huge Information Excellence
The winner on this class is delivering high-impact enterprise outcomes utilizing huge information, and/or information lakes with BI applied sciences and methods.
Winner: RajComp Information Companies Ltd. (India)
RajComp is an IT consulting agency serving the state authorities of Rajasthan, which wanted a extra built-in info infrastructure. Lack of integration constrained visibility throughout their numerous state service organizations, and restricted their use of unstructured information. Rajcomp constructed an entire huge information analytic atmosphere utilizing Teradata know-how to combine, retailer and handle all kinds of structured and unstructured information like textual content, picture, video and social media. As well as, the Teradata Hadoop equipment for Hortonworks and Teradata Aster collectively have supplied surprising new insights. These included deeper understanding of citizen wants and pursuits, alternatives to enhance citizen engagement, and elevated visibility into the standard of state companies. The answer has additionally empowered authorities departmental customers, who now have robust analytical assist for extra well timed and efficient decision-making, leading to higher consumer satisfaction and higher administration of companies.
Class: Collaboration and Innovation
This class honors an individual or workforce whose management and experience resulted in a unprecedented technology-enabled enterprise consequence.
Winner: David Covert is accountable for technique, governance and the each day execution of the multi-channel gross sales and advertising program at Financial institution of the West. Confronted with the necessity to higher goal prospects in actual time via most well-liked channels, David leveraged Teradata’s Buyer Interplay Supervisor (CIM) utility. To fulfill the problem, his workforce developed a contact frequency algorithm that measures and manages e-mail responses and distribution. Insights from this analytics-driven course of have resulted in a 21 p.c enhance in ‘open’ charges and a 15 p.c reengagement charge.
Additionally, underneath David’s management, ‘event-triggered’ advertising leads elevated by 50 p.c in 2016, with response charges as much as 5 instances higher than prior ‘propensity-based’ leads. As well as, David and the cross-functional groups developed new channels and applications to develop the CIM platform throughout two extra strains of enterprise, leading to a profitable initiative to generate shopper upstream referrals and residential lending gross sales. David’s progressive strategy was instrumental in topping the income and revenue charts by 125 p.c in 2016 and is now on observe for 120 p.c in 2017.
Class: Buyer Journey Excellence
The winner on this house mixed experience in information integration, superior multi-genre analytics, and cross-channel orchestration to drive and optimize buyer journeys, assist create new merchandise, and execute profitable multi-channel campaigns.
Winner: HSBC UK with Celebrus Applied sciences
HSBC confronted the problem of changing on-line guests into prospects, a important a part of the drive to grow to be far more customer-centric. This was the important thing part of a serious transformation challenge – to construct one system which might join buyer channels to a central CRM mind to create a single buyer view and ship constant, joined-up messaging throughout channels. HSBC UK used Teradata Actual-Time Interplay Supervisor and Celebrus Applied sciences to transform individual-level digital buyer information captured in actual time into actionable perception. At this time, HSBC UK delivers tens of millions of extremely personalised messages per day throughout a number of channels, together with many in real-time, which helps them tackle a number of aims and drive enterprise development.
Class: Built-in View of the Enterprise
The profitable answer delivered analytic insights by unifying the information ecosystem right into a cohesive analytic atmosphere. This resulted in efficiency enhancements and new enterprise alternatives whereas supporting the reuse of information.
Winner: UnitedHealth Group/Optum
The problem for United Well being Group (UHG) was the urgent want to fulfill the stringent reporting necessities related to the passage of the Reasonably priced Care Act (ACA), which mandated new reporting practices starting in January 2014.
To fulfill these necessities, particularly the three R’s (Danger Adjustment, Danger Corridors, and Reinsurance), UHG wanted a well being care reform-focused reporting functionality. Leveraging their Teradata ‘Unified Information Warehouse’ (UDW), UHG was capable of design and ship its 3R reviews containing claims, member, coverage and supplier information sourced from greater than 30 techniques to fulfill federal necessities and fulfill inside measures of success tied to quantity and high quality. Because of this, UHG was capable of obtain exceptionally excessive information acceptance for his or her 2016 3R submission.
The Teradata UDW manages detailed information in assist of claims and recordsdata pertaining to scientific paperwork and information pertaining to prospects, merchandise, plans, advantages and all kinds of operational, monetary and well being information. Using Teradata’s platform for complicated compliance helped UHG ship tens of millions of {dollars} of enterprise worth throughout the group.
Class: On the Edge with the Web of Issues
The winner on this class is monetizing the Web of Issues, utilizing sensor information from telematics and interconnected units together with autos, meters, machines, climate units, buildings, manufacturing strains, and purchasing carts. The answer is leading to higher enterprise fashions, course of enhancements, private healthcare, or enhanced buyer experiences.
Winner: Qualcomm
Qualcomm is a multinational semiconductor and telecommunications firm that designs and markets wi-fi services and products. The principle IoT problem confronted by Qualcomm wasthe predicted 1000x rise in mobile information site visitors, now known as the “1000x Information Problem.” To handle this, Qualcomm foresaw the necessity to enhance the effectivity of its many belongings whereas adopting radically alternative ways of buying, deploying and managing these assets.
Qualcomm acknowledged that the answer to skyrocketing information site visitors is simply attainable via extra highly effective information assortment throughout services and products – and the in depth use of machine studying. Qualcomm engaged Teradata’s Assume Huge Analytics workforce to assist sort out the various IoT information points and analytic dimensions of this problem. With Teradata, Qualcomm gained shut entry to a collective of consultants with information science experience in addition to techniques architects and product technologists with mature ranges of expertise.
Qualcomm has now expanded its technological capabilities and has uncovered insight-driven alternatives which are driving enhanced services and products for shared studying and higher enterprise outcomes. For example, with Teradata’s assist, the Qualcomm Information Science Group now has a complete roadmap that’s enabling cross-business unit collaboration. Improvement groups inside Qualcomm are actually leveraging the identical information and gaining perception from one another – in areas like Cell Processor, Embedded Processor Bluetooth Merchandise, Mobile Modems and Wi-Fi, and Radio-Frequency (RF) Merchandise. The work with Teradata continues at present, to develop and allow information science throughout Qualcomm with technology-enabled enterprise options which are sensible, scalable and future proof.
Class: Operational Excellence
The winner is utilizing information and analytics to ship measurable efficiency enhancements in operations throughout the worth chain with an emphasis on good bottom-line enterprise outcomes.
Winner: The Directorate Normal of Tax for the Republic of Indonesia
The Directorate Normal of Tax for the Republic of Indonesia (DGT), serving the Indonesia Minister of Finance, confronted a serious problem to detect and cut back tax fraud whereas widening the tax base. This island nation has 255 million residents, however solely 27 million (11 p.c of the inhabitants) are registered taxpayers. DGT acknowledged that the a technique they might meet these challenges was via subtle information administration. DGT selected Teradata and commenced implementing the Unified Information Structure (UDA) to create a extra built-in info ecosystem.
DGT’s DAWET challenge (“Built-in Information Warehouse” in Bahasa Indonesian) is the massive information analytics core of their UDA, which successfully organizes and manages its information. The enterprise now has the analytical basis to show beforehand unseen alternatives into actionable insights. For example, with Teradata, DGT is figuring out points comparable to suspicious transactions, switch pricing, firms owned by different firms, identification of triangular transactions, perception into organizational constructions and the inter-connections between homeowners and stakeholders. Elevated visibility throughout the operation can also be serving to understand particular enterprise targets, that are to assist enhance service and enhance income via tax assortment whereas enhancing taxpayer compliance, decreasing fraud, and higher managing prices. DGT now has an operational basis to attain their imaginative and prescient to be the perfect tax administration in Southeast Asia.
Integration and Consulting Accomplice (ICP) and Impartial Software program Vendor (ISV) Awards
Class: Huge Information Intelligence
The accomplice leveraged a number of of Teradata’s applied sciences and concerned new rising information sources comparable to Net logs, sensors or compelling new analytics to drive digital advertising optimization or new Net path evaluation. The answer confirmed measurable return on funding.
Winners (ISV): SAS and Cleveland Clinic
Positioned in Cleveland, Ohio, the clinic is a nonprofit, multi-specialty educational medical middle that integrates scientific and hospital care with analysis and schooling. At this time, with greater than 1,400 beds on Cleveland Clinic important campus and 4,435 beds system-wide, Cleveland Clinic is likely one of the most revered hospitals within the nation.
The Cleveland Clinic has created an built-in, cost-effective, and agile analytics platform that’s facilitating simplified entry to strategic information belongings throughout each service line; supporting the entire analytic lifecycle at scale from speculation technology via mannequin operationalization and upkeep; and permitting them to generate higher insights for government and operational decision-making.
Winners (ISV): Fuzzy Logix and Gilead Sciences, Inc.
Fuzzy Logix and Teradata collaborated with Gilead Sciences, a U.S. biotech firm, to fulfill the problem of higher detecting and understanding “antagonistic occasion indicators” – which signify causal relationships between an antagonistic occasion and a particular remedy. The groups developed an antagonistic sign detection answer working on the Teradata Analytic Platform, which accelerates the event of complicated computations utilizing Bayesian Poisson strategies that analyze time-based occasions in a linear manner.
This answer on Teradata has enabled sooner, extra insightful evaluation of digital medical file information and improved accounting for all well being transactions. Gilead can now effectively evaluate topic teams uncovered to totally different drugs utilizing a fancy “matching” algorithm. The answer has resulted in substantial time financial savings, a rise within the variety of security sign evaluations, and a major discount within the variety of false optimistic indicators – which collectively ship new insights in addition to higher well being outcomes.
Class: ICP & ISV Enterprise Perception
The profitable companions have developed and applied an answer involving pre-built functions and provides that use a Teradata analytic information platform. The answer is in manufacturing and delivering measurable return on funding for the client.
Winner (ICP): Cognizant Expertise Options and a Main Telecom
The UK’s second-largest telecom supplier confronted the problem of personalizing buyer contact to extend cross-selling and up-selling alternatives. The function of the Teradata Analytic Platform was central within the answer because it gathered and built-in numerous kinds of information to reinforce buyer profiles. The platform would then analyze and speed up clever perception to the advertising functions. The massive efficiency enhancements occurred when the telecom enterprise upgraded to IntelliFlex, with versatile multi-dimensional scalability. In the end, the telecom supplier elevated their enterprise agility, accelerating perception supply to customers by 20 p.c.
Winner (ISV): Clintworld GmbH and A1 Telekom Austria AG
A1 Telekom confronted the problem of successfully introducing a brand new product portfolio to enterprise prospects. Furthermore, the gross sales brokers wanted a software to handle the migration of current buyer contracts into this new portfolio. To handle this problem, the groups collaborated to develop a devoted software primarily based on Clintworld’s ‘Clintview’ value simulation software program that creates very exact personalised provides. This app additionally guides gross sales brokers via all the gross sales cycle and advises them on the perfect new supply for every particular person buyer.
The Clintview ‘Tremendous Simulation’ (SUSI) software program, pushed by the massively parallel energy of Teradata, can calculate tens of millions of supply mixtures and supply the leads to minutes, or seconds. SUSI on Teradata enabled the strategic enterprise consequence: a fast migration of consumers to new contracts. All KPIs (e.g. software program utilization, income modifications) had been met, indicating a extremely profitable implementation benefiting the shopper’s enterprise.
Class: ICP & ISV Enterprise Intelligence
Companions on this class are serving to prospects construct a company-wide answer leveraging a Teradata Analytic Platform for the client’s strategic information evaluation. The answer is in manufacturing and producing optimistic outcomes for the client.
Winner (ICP): IBM GBS and a Main Vitality Firm
The IBM and Teradata groups had been challenged with delivering extra well timed, environment friendly and strategic information administration for a number one built-in vitality firm. The groups helped the shopper change older DB techniques with the Teradata Analytic Platform. It was used to speed up the efficiency of the Exploration and Manufacturing enterprise unit. The transfer to Teradata concerned the migration of just about 300 database tables and the conversion of just about 600 ETL jobs from aggressive platforms. The challenge resulted in a decrease price of possession, with improved efficiency and scalability – whereas additionally making a single view of the enterprise.
Winner (ISV): Dataguise, Inc. and eBay Inc.
eBay confronted a problem to extend information velocity throughout the enterprise, which has all the time been sophisticated by its constantly rising information volumes – the results of one billion energetic listings and 164 million patrons. Volumes at present exceed 12 petabytes of buyer transaction information in Teradata platforms that should be analytically transformed to intelligence for personalised buyer experiences. Nevertheless, earlier than datasets can be utilized for analytics, all delicate information should be detected and both protected or eliminated to adjust to a rigorous set of inside and exterior privateness and compliance necessities. These are the Fee Card Trade Information Safety Commonplace (PCI DSS) and the Normal Information Safety Regulation (GDPR).
Understanding that “You’ll be able to’t defend what you’ll be able to’t see,” the eBay World Information Infrastructure (GDI) workforce deployed Dataguise DgSecure for exact delicate information detection in all Teradata repositories. With Dataguise, eBay is ready to uncover delicate information, report its precise location, alert inside information homeowners, and take motion as required. Because of this, eBay can rapidly and absolutely leverage buyer transaction information for analytics-driven development, whereas decreasing enterprise danger and enterprise price via full information privateness and regulatory compliance.
Related information hyperlinks
To fulfill the 2017 EPIC Award judges, click on right here and scroll down.
Teradata is the related multi-cloud information platform for enterprise analytics firm. Our enterprise analytics remedy enterprise challenges from begin to scale. Solely Teradata offers you the flexibleness to deal with the large and blended information workloads of the long run, at present. Study extra at Teradata.com.
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