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- 1. http://www8.hp.com/us/en/software-solutions/big-data-software-services/index.html http://www8.hp.com/us/en/software-solutions/big-data-software-services/index.html http://www8.hp.com/us/en/software-solutions/big-data-software-services/index.html http://www8.hp.com/us/en/software-solutions/big-data-software-services/index.html http://h20195.www2.hpe.com/V2/GetDocument.aspx?docname=4AA5-8672ENW&cc=us&lc=en http://h20195.www2.hpe.com/V2/GetDocument.aspx?docname=4AA5-8672ENW&cc=us&lc=en http://h20195.www2.hpe.com/V2/GetDocument.aspx?docname=4AA5-8672ENW&cc=us&lc=en Journey through the five stages of big data adoption HPE Big Data Software Services Getting from one stage to the next with big data software consulting services As you move through the five stages, youll gain more value from your investments in big data analytics. You can successfully reach analytics maturity by employing a few common best practices: Becoming a mature, data-driven organization Engage with us HPE is your end-to-end big data software consulting services partner throughout your journey. Get additional information about HPE Big Data Software Services. Learn more Talk to your account executive to request a transformation workshop. Download brochure 息 Copyright 2016 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for HPE products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. HPE shall not be liable for technical or editorial errors or omissions contained herein. 4AA6-7861ENW, October 2016 2. Pre-adoption Some investments in new technology supporting but lacking organizational governance for big data How to get there HPE Transformation Workshop Milestones to achieve Understand available big data Harness relevant big data See the value in analyzing information and rich data sources How to get there Big data strategy and roadmaps Data Discovery Services Milestones to achieve Understand the value of faster analytics and faster time to insight Ask questions about data mining and receive immediate answers Extract value from unstructured data sources How to get there Technology advisory consulting Assessment Services Use-case definition consulting Proof of Concept/Pilot Services How to get there Architecture/Design Services Data governance Analytics solutions Milestones to achieve Enable legacy solutions to keep pace with big data implementations Leverage a phased approach to tackle key vs. future iterations Gain executive buy-in/sponsorship Organizations can stall here because its difficult to cross the chasm leading to corporate-wide adoption of big data and analytics. How to get there Hybrid Data Management Services Ecosystem Consulting/Integration Services EDW modernization Big Data Center of Excellence Milestones to achieve Overcome data security concerns and fears of exposing your data Integrate with existing big data investments Coordinate effectively across the business on big data initiatives Gather together pockets of resources or models for big data analytics initiatives Commitment Be willing to stick with it, because it can take time Tap into resources for users, analysts, and data scientists so that they can fail fast and learn how to improve Have strong executive support and people with a passion for big data and analytics Competency Ongoing building of skills in big data analytics Hire externally as well as build skills internally and encourage sharing of best practices Establish training programs and strategies Work with people who see the value of big data analytics A culture that can manage change Understand the principles of change management Challenge or replace unquestioned assumptions with data-driven reasoning Employ organizational leadership that champions experimentation and understands the need to address both people and process issues that come with change How to get there Big Data Cloud Accelerators Solution Management Services High-Performance Data Ingestion Services Predictive/Machine learning solutions Milestones to achieve Move analytics closer to the big data sources Compete successfully using enhanced decision-making capabilities Better manage costs and understand big data growth Milestones to achieve Integrate scattered and siloed data, as well as data sources Establish an effective data governance model and robust process for big data capture, curation, validation, and retention Gain clarity about tools, technology, and necessary skills 3. Early adoption IT and business teams collaborating to determine the right big data business problems to solve 5. Mature/Visionary Smoothly executing big data analytics programs using a highly tuned infrastructure with well-established data governance strategies Governance Data architecture Data lifecycle management Security strategies Organizational structures 1. Nascent A pre-big data analytics environment with a low awareness of big datas value 4. Corporate adoption Implementing, operationalizing, and supporting real-time big data analytics Cross the chasm To cross the chasm, you need the right: NoSQL databases Databases (SQL) Hadoop Open source