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PwC’s Academy Understanding Architecture Half-day workshop

What are the benefits of architecting Data the right way? How does it translate into managing costs?

Objective Benefits of attending this workshop To empower corporate The technological innovations over the last decade have ensured a professionals with insight dramatic change in the way businesses operate today. The business into data architecture processes now are more customer-centric and the interaction experience around traditional and forms the core of business offerings. These technologies, then, besides emerging data needs, bringing in an era of disruptive innovation have also necessitated a change outcome based initiatives in the way data is managed throughout the enterprise. and problem solving scenarios. Enterprise Data needs to be managed in perspectives of real-time needs, computing power, cloud solutions and business insights through artificial intelligence (AI), deep learning, etc. Thus, the design and maintenance of Who should Enterprise Data Architecture underpins the technical support for attend? changing business needs.

All mid to senior level Through this workshop, we aim to provide a broad overview of data professionals whose architecture and considerations for including responsibilities include management of master data, , stores, a) , with cloud, etc. The workshop would also showcase industry case studies b) data modelling, around global data management, also encouraging participants to bring c) managing data programs, their own practical challenges around data management. d) managing IT functions, e) managing data budgets, Workshop highlights include: f) being part of Data • Overview of Enterprise Data Architecture & Model Governance committee or • Master Data, Big Data & EDW, Real-time data and Cloud Integration council. • Data Lifecycle reflections on Metadata Management and • Practical case studies and industry problems from participants PwC’s Academy Workshop agenda

Overview of Enterprise Data Architecture Metadata Management • Overview of Domain / Canonical Data Models • What is Metadata and Enterprise Metadata • What is Enterprise Data Architecture Management • Data Architecture as a part of the overall Data • Data Lifecycle & Lineage from a Metadata lens Governance Strategy • Data Catalogs and some best practices Technology skillsets for Enterprise Data • Learn what, why and how of Master Data • Differentiate between Data Analyst, Data Management Engineers, Data Architects, Data Modelers and • What is Reference Data Data Scientists • Building blocks of a typical MDM solution • Which skills required for managing enterprise • MDM with Big Data and New Gen architectures data

Big Data and Next Gen Architectures Business Drivers for Data Management • Big Data 101 • Cost considerations • Cloud 101 • Time-to-market and Agility • and Enterprise Performance • Enterprise Performance Management with evolved architectures

Case Studies Technology & Tools for Data Architecture • Case studies from the industry and from a global • Big implementation perspective • Cloud Computing • Current business and technology support • NewSQL challenges from the participants • Multi-model • Q&A

About your workshop facilitator

Aashish Diwakar Senior Manager, PwC Singapore Aashish has close to 17 years of experience in end-to-end management of Data (Strategy, Architecture & Platforms) & Advanced solutions, having worked with clients across North America, Europe, South Africa, Middle-East & East.

He specializes in CIO Strategies, Information Governance & Maturity Assessment, Enterprise Data Architecture, programs, enabling Big Data & Cloud solutions and setting up Centers of Excellence for the Data Organization.

Registration fees (all fees include 7% GST) How to register

PwC Clients & Alumni: S$350.00 To register, simply select the course via our Training Public: S$400.00 Calendar (www.pwc.com/sg/academy) and click on the 10% group discounts for 3 participants & chosen course date to access the digital registration form. above For any further queries, please email [email protected]

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