Sidestep the hype to turn all data into actionable insights
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Sidestep the hype to turn all data into actionable insights An introduction to the challenges of deriving insights from data. Presented at Dell Solution Tour in Oslo on 08/09/2015
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Sidestep the hype to turn all data into actionable insights
- 1. 1 Sidestep the hype to turn all data into actionable insights Luigi Lenguito EMEA Information Management Solutions Lead 8th September 2015, Oslo @LuigiAtDell
- 2. 2 Dell Global Technology Adoption Index 14% growth Most effective at leveraging data 8% growth Least effective at leveraging data @LuigiAtDell
- 3. 3 Dell Global Technology Adoption Index 61% have data that can be analyzed But only 24% understand how to extract value from that data and are pursuing it @LuigiAtDell
- 4. 4 What’s holding them back? Older technology can’t keep up The ability to scale to support all data and unpredictable workloads means effective data management and integration techniques are a priority Data silos hinder decision-making Need to analyze all data – no matter what type it is or where it resides – and apply to use cases Determining the value IT/business alignment on strategic business objectives and use cases is critical to achieving ROI from all data @LuigiAtDell
- 5. 5 IT/business alignment • Define objectives • Set KPIs • Assess environment • Anticipate needs Business becomes data-driven Transform the business • Connect the intelligence • Build analytics capabilities • Deliver agile, secure BI Build a scalable, all data strategy • Adapt to changing needs • Optimize performance • Lower costs The all data journey: start with the end in mind @LuigiAtDell
- 6. 6 Build a scalable, all data strategy and transform the business Comprehensive advanced analytics Predictive Data mining Natural language processing Machine learning Verticals and tailored services Healthcare Marketing Manufacturing Finance Pharmaceutical Agile and flexible all data framework ETL offload Enterprise data warehouse Add speed for analytics Take out cost Add scale for large queries Scale across any data platform for any data challenge to lower TCO Open, agnostic, modular approach to all data challenges Data management Data integration Analytics Security @LuigiAtDell
- 7. 7 ALL data Low TCO No lock-in The Dell difference @LuigiAtDell
- 8. 8 Join the conversation. #DAAC Dell Annual Analyst Conference | 2015 | #DAAC Customer story: Merkle @LuigiAtDell
- 9. 9 2. Store1. Integrate 4. Act 3. Analyze Dell solution: customer churn analysis Analytical output Dell Toad Data Point Desktop – integrate, cleanse Dell Boomi Cloud – integrate, correlate Dell Toad Intelligence Central Data aggregation and virtualization Dell Statistica Customer data Events Stock market data Advanced analytics Dell Statistica Desktop – crawl, save Order data Dell future-ready infrastructure solutions
- 10. 10 Join the conversation. #DAAC Dell Annual Analyst Conference | 2015 | #DAAC Customer story: DanskeBank Join the conversation. #DAAC
- 11. 11 Key Challenges in Innovating through Data Access to data Building queries Data integration Provisioning data Analytics • Don’t have access to the right data and data sources • IT must access and deliver data for analysts and end users • Tools not developed with the data professional in mind • Multiple tools required for multiple platforms • Understanding data relationships • Integrating data from disparate systems • Manual copy & paste of data • Maintenance of interfaces • API management • Master Data Management (MDM) • Manual processes • Expensive tools • Repetitive tasks • A very restricted number of people have access to it in the organization • Lack of knowledge on the usage of the algorithms • Inefficient reporting tools • Users want data/reports in real time • Lack of collaboration between teams • Require visualizations and analytics for insights Toad Boomi, Shareplex, TIC Statistica
- 12. 12 Dell Information Management Portfolio Services: IT/business alignment, infrastructure readiness, analytics maturity, metrics Infrastructure Put the right data in the right place at the right time Management Improve data platform performance Integration Get real-time data movement BI and data discovery Turn information into insights Turn insights into better, faster decisions Advanced analytics Platforms/Partners: Oracle, Microsoft, Hadoop, Cloudera, Intel, SAP, and more Storage, Servers, Networking TOAD Spotlight Litespeed Boomi, SharePlex TOAD DataPoint & Intelligence Central Statistica +BigData
- 13. Ten years from now, when we look back at how this era of big data evolved... We will be stunned at how uninformed we used to be when we made decisions
- 14. 14 Continue learning and discovering at : software.dell.com/information-management Follow : @DellBigData @DellSoftware @LuigiAtDell Thank You!
Editor's Notes
- According to the Dell Global Technology Adoption Index, organizations that have successfully leveraged data over the last three years grew almost twice as much as those who did not: 14 percent versus 8 percent. The benefits of becoming data-driven are real: properly leveraging data does lead to competitive advantage.
- The same study found that, while 61 percent of organizations said they have data that could be analyzed, only 24 percent of organizations understood how to extract value from data and are pursuing it.
- The perception that big data is more hype than reality, the investment and risk that comes with change and modernization, and data silos and are seen as the biggest challenges to adoption. The #1 hurdle remains determining the value of data. Customers are struggling with defining a strategy, with leadership or organizational issues, and may even still be trying to understand what big data is. The success of data initiatives is strongly linked to collaboration between IT and the business. Without clearly defined business goals and metrics, big data initiatives can get derailed or fail to achieve ROI. We counsel our customers that data projects cannot be bottom-up IT intellectual innovation exercises. They must be driven by a desire to solve significant business challenges, IT and business leaders must be committed to collaborating, and the right people need to be granted access to the right data. Having the proper skills and analytics maturity and tying projects to measurable performance metrics are also key success factors. The next hurdle we encounter is that older technologies can’t keep up with the demand to derive value from data. They hype around big data has been dominated by the newer technologies like Hadoop. But our customers paint a different picture. The Enterprise Data Warehouse continues to be at the center with newer technologies needed to augment it so that the organization can support the collection, processing, management, integration, and analysis of a wide variety of data sources using the best technology for the task. In addition, data initiatives, due to their experimental nature, need an infrastructure that can scale to support unspecified and unpredictable workloads. And as users embrace self-service access to data, BI, and analytics, siloed data environments limit business teams’ access to all the data and analytics they want and need to make better, faster decisions. Data is spread across different systems that are not integrated, and multiple platforms for different types of data have created siloed tool chains run by separate IT teams. These silos affect IT’s ability to respond quickly to business teams’ requests and shadow IT emerges as the business finds a way to get access to all data.
- For an enterprise to become data-driven, Dell believes the journey requires an “all data” approach. It’s not about big data, small data, unstructured data, or structured data – it’s about all data. Being only partially connected to some data hinders effective decision-making, thereby limiting competitive advantage. And so we eschew the “big data” label. Enabling the collection, processing, management, integration, access to, and analysis of all data leads to better decisions and connected use cases, empowering our customers to compete with confidence against any challenge created by the Data Economy. As the lines between business and technology strategies blur, IT must ensure that the journey to become data-driven starts with the end in mind. This requires a commitment to IT/business alignment and collaboration. The Data Economy puts IT back on the agenda as an enabler of the business, not just a cost center. To fully empower this resurgence, at Dell, we are helping our customers tie their data projects to business goals and measurable performance metrics. This is key to addressing the barrier of determining the value of data and necessary in order for IT to be begin to anticipate their internal business stakeholders’ needs. At this stage in the journey, we help our customers define their objectives and prioritize their use cases. We also assess the customer’s unique environment and discuss why being only partially connected to data is limiting and why an all data approach – in other words, strategically enabling data capabilities as they’re needed – is what will enable IT to deliver fully-connected use cases. Our services practices and partners address the customer’s gaps in know-how to help them create their data strategy and accelerate the time to design and deployment while reducing the risk of missteps. As IT thinks about the required use-cases and systems needed to become data-driven, they must address the fact that new technologies must be acquired and integrated with older ones. By building a scalable, all data strategy that leverages existing databases and investments, IT is able to anticipate business requirements and optimize performance while minimizing costs, heartache, and staff-churn. The Dell all data approach helps IT prevent the LOB fire-drill of “get me this capability now” or “you don’t have this capability so I’m going the shadow IT route” or “what do you mean it will take 3 months??” by providing customers with blueprint architectures that reduce or eliminate the effort and risk of evaluating, assembling, and integrating various components. Any strategy that enables only some data is at risk of being ripped-out, re-done, heavily augmented, and potentially even over-purchased. Without a plan, the next LOB request will turn into a vendor/feature witch-hunt all over again. Dell’s open and flexible architecture means a customer can create an all data stack that helps them get to the business of data analytics faster and more securely than they could otherwise because it allows them to scale to support unspecified and unpredictable workloads. An all data approach can transform the business. Dell helps customers tackle the data silos to connect the intelligence in the organization, to manage the size and complexity of the data environment, and to speed up the delivery of quality data and analysis to the business. We can combine all data for analytics the enterprise can act on – whether the organization already has an enterprise data platform, data warehouses, or just many databases. The goal is to empower more business teams, securely and quickly, with self-service access to all data for faster, better decision making. By addressing these continuous steps in the all data journey – and backing it up with an end-to-end strategy and portfolio, Dell is able to effectively compete in the Large Institution and Mid-Market segments against the large, traditional players who offer expensive, complex and rigid platforms and the specialized pure-play vendors who only provide one piece of the puzzle.
- The lack of know-how to architect wisely for the Data Economy and rising TCO for data initiatives means that many organizations need guidance on their data strategy. But having control and choice over their data strategy is critical, and Dell’s approach ensures that the customer’s journey is on their terms. Having gone through the critical step of identifying the business goals and associated use cases, we can then start to design the right strategy. Dell has built a comprehensive all data solutions portfolio with an open, modular, and data-agnostic approach. One that enables customers to build scalable framework that addresses their real-world data challenges with flexibility and agility. One where customers can buy only what they need but know that they have the ability to expand or scale easily. One that breaks down silos and connects the intelligence in the organization. And one that does all of this without breaking the bank or requiring a do-over. Bottom tier: agile and flexible all data infrastructure. Whether a customer is trying to offload ETL processes from the data warehouse to increase performance and efficiency or is trying to augment the data warehouse with logical data warehouses that are able to integrate disparate and multiple data source, types, and structures, Dell can deliver an agile and flexible infrastructure that leverages existing investments and doesn’t require a rip-and-replace. Customers who are looking for a faster and simpler way to build a supporting infrastructure can look to us for a certified mix of components with reference architectures or pre-configured appliances. Engineered solutions for SAP Hana, Oracle, Microsoft SQL Server, and Cloudera allow for the use of all data while enabling investments that are added as needed, thereby lowering TCO. With a set of blueprints, Dell helps customers build the stack that suits their unique requirements and eliminates the effort and risk of evaluating, assembling, and integrating various components. The result is a future-ready infrastructure that is able to anticipate and flex based on any use cases that arise. Second tier: open, agnostic, modular approach to all data challenges. Complementary software tools that work with preexisting data sources and tools break down the silos so that all data can be made available for analysis. We hide the complexity behind the scenes to enable a secure and consistent experience in managing, integrating, and analyzing all data. Third tier: comprehensive advanced analytics. Dell draws upon our thirty years of expertise with analytics to deliver a comprehensive advanced analytics platform that helps customers avoid having to piecemeal together too many distinct offerings. With the ability to embed analytics everywhere, that is, run any analytics on any data anywhere, Dell once again showcases the all data approach that drives better decisions across organizations. Top tier: verticals and tailored services. Dell brings professional services muscle and a deep heritage of targeting distinct verticals to add additional value to the customer’s all data strategy. With both strategic and tactical services capabilities, we can assist organizations of any size in conceiving and shaping their own unique solution.
- Our complete technology stack and comprehensive portfolio enables customers to extract value from all their data, so it can be turned into insights for faster decision-making. All data – We break down silos to analyze, integrate, and manage ALL data. No matter where it is or what format it’s in. We aren’t tied to a single database, making us both data- and platform-agnostic, enabling you to properly manage and leverage all of your data. Low TCO – We consistently deliver low TCO and the low cost of entry into big data means you can get projects up and running quickly. No lock-in– Dell big data solutions integrate with existing investments, adapt to changing needs, and prepare you for the future. We have no legacy to protect or push and we don’t force our customers to rip-and-replace. Now I want to show you a video about our customer Merkle. Merkle is one of the largest and fastest-growing CRM agencies in the US. They use an analytically-led methodology and enterprise data hub to help large consumer brand clients build and sustain profitable customer relationships through smarter marketing. They are in Phase I of their big data initiative, called Connected Recognition, which enables them to connect customer identity and experience. Their clients send Merkle all their data and Merkle analyzes it to build better segments and models.
- Now, let’s watch how Merkle’s all data approach to their Connected Recognition Platform has helped them realize 60% lower TCO and analyze a year’s worth of historical data vs 90-120 days previously. In order to collect, analyze, and organize increasing amounts of data, Merkle sought to optimize their Connected Recognition Platform by integrating the latest Hadoop architecture with Dell and Intel technology. Their improved infrastructure now runs on Dell hardware supported by Dell Cloudera Hadoop solutions. Take a look.
- Here’s a great example of how we bring all the pieces together for the marketing customer churn use case.
- Now let’s watch another customer story. DanskeBank uses Statistica to build predictive models to quickly provide customers with credit and services and to prevent fraud.
- Dell offers an end-to-end Big Data solutions portfolio that is platform- and data-agnostic to enable your success now. We have combined new product development with an acquisition strategy and services to deliver modern, comprehensive solutions that fill the gaps created by fragmented niche products yet avoid the lock-in penalties of rigid, costly legacy solutions. Our portfolio includes database management tools such as Toad for Oracle and Toad for SQL, data integration tools such as Boomi and SharePlex, BI and data discovery tools such as Toad Business Intelligence Suite and Kitenga, and advanced analytics solutions such as the newly-acquired Statistica platform, all underpinned by storage, server, and networking offerings, as well as our broad range of industry relationships. Our services offerings ensure we’ll help you get above the hype to focus on what Big Data can do for your organization. Dell solutions are modular, meaning we don’t impose our view on any one portion of the Big Data stack, so you’re able to choose where to start and how to plan prioritize your project. You can work with Dell without worrying about starting over and we’ll empower you to enable the business to maximize its potential to turn data into insights for better, faster decision-making.