Harnessing the Power of the Microsoft Cloud for Deep Data Analytics

Transcription

1 1 Harnessing the Power of the Microsoft Cloud for Deep Data Analytics

2 Today's Focus How you can operate your business more efficiently and effectively by tapping into Cloud based data analytics solutions and services How progressive companies are leveraging cloud platforms to their advantage How the power of a public, private and hybrid cloud can pool your data assets so they function as a single, coherent set of easily-managed resources. Cloud Economics an overview of costs & benefits you can use to calculate the return on your cloudbased analytics investment. How data analytics combined with cloud services will help you unlock deep business insight Demo of Microsoft Office 365 with Power BI

3 Sound Familiar? We re Suffering from Poor Query Performance within our Mission-Critical Decision Support Applications. We have too much data. Our Users Don t Understand and Can t Effectively Manage Key Business Processes. Sharing Information Across our Geographically Distributed Organization is Impossible. We Need to Use our Data to Tell a Story If Only I had a Dashboard I Could Have Seen that Issue Coming. Is See the Trend But Why is that Trend the Trend? There are known knowns. These are things we know. There are known unknowns. That is to say, there are things that we know we don t know. But there are also unknown unknowns. These are things we don t know we don t know.

4 Cloud Speak GETTING OUR TERMINOLOGY STRAIGHT

5 Cloud Terminology Most of us know that the CLOUD is a bundling of virtualized and scalable computing resources that are located in in our data center (Private), a 3rd party's data center (Public) or a combination of the two (Hybrid) Clouds provide different SERVICES: Infrastructure - computation, storage, networking Platforms - operating system and some level of app development infrastructure Software - packaged applications, APIs, services that glue things together.

6 The Service Cloud

7 Microsoft Layered Services Infrastructure as a Service Platform as a Service Software as a Service SaaS IaaS Infrastructure Servers Storage Network PaaS Platform OS & Application Stack Infrastructure Servers Storage Network Applications Packaged Software Platform OS & Application Stack Infrastructure Servers Storage Network Microsoft Azure Power BI Office365

8 The Microsoft Cloud Microsoft Azure - Infrastructure, Platform and More. The IaaS and PaaS solution we'll be discussing today. For today we ll focus on Azure as a data source. Office The Software as a Service (SaaS) solution consisting of the Office Product we know and love and a bit more. Power BI - Delivered through Office 365 which provide Analytics as a Service Dynamics CRM - a SaaS platform and application development platform There is more but that s out of scope for today's discussions

9 The Cloud Benefits Much Less On Premise Infrastructure Needed - fewer servers, less storage, fewer networked devices. (IaaS) Moving Capital Expenditure to Expense. Subscriptions typically per/user/month, CPU Hours, $/Gigabyte for storage and bandwidth. Fewer 'Administrative Resources'. Elasticity - Your infrastructure can grow to the scale you need when you need it. It can shrink when it is no longer needed. Elastic compute, elastic storage. Outsourcing of upgrades, patching and general platform maintenance. (PaaS). Hardened perimeter security, updated antimalware/antivirus. High availability, data redundancy, backups, disaster recovery Focus on Software Configuration, Customization and Integration - less Focus on Building Solutions from scratch (SaaS).

10 Cloud Growth Global spending on public cloud services is expected to grow 18.6% in 2016 to $110.3 Billion * CAGR = Computed Annual Growth Rate

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12 Office 365 A QUICK LOOK

13 Analytics in the Microsoft Cloud When we talk about Cloud Analytics we include the traditional: Reporting OLAP/Pivot Table Analysis Visualizations Predictive Analytics But WE also like to focus on: Collaboration Search Alerts/Work Flow Web Services

14 An Analytics Cloud Must: Allow you to report on data in place, eliminating the need to copy, duplicate, replicate, transport and transform that data. It must be secure by ensuring that your assets are encrypted at rest and that interactions with the analytics are encrypted in transit. Authorization Driven - you only view what your ALLOWED to view. Authoring and Consumption via an app or web browser. Accessible from any device. Accessible from within a well understood user interface. It MUST be self service.

15 It Must Access All of Your Data Typically, Your Data is On-premise in Legacy Systems or an On-premise Data Warehouse. Some of your data might be in an O365 SharePoint Site. Some of your data might be in a 3rd Party SaaS product like Salesforce.com You may have data and applications living in a public cloud like Microsoft Azure. So to be affective - a Cloud Analytics Platform has to aggregate data from both private and public clouds.

16 The Microsoft Analytics Cloud

17 Consumption via O365 & Excel

18 Rich Visualizations Excel + Power View and Power Map

19 Deep Analysis Excel Pivot Tables

20 Data Discovery Power Query An add-in for Excel that provides user with an easy, intuitive way to discover, combine and refine data within the familiar Excel interface.

21 Data is Sourced From Data On Premise SQL Server, Analysis Services (SSAS), Parallel Data Warehouse (PDW), Oracle et al. Using the Microsoft Data Management Gateway. Data Already in the Cloud Stored in a public Cloud, Azure Data Services, HDInsight etc., Data from 3 rd Party SaaS Providers: QuickBooks Online, SalesForce.com, Zendesk, Dynamics CRM, SendGrid, Marketo and accessible VIA POWER BI Adapters. SharePoint Lists/Libraries Data in Excel Spreadsheets stored in file shares or in the Office 365 cloud.

22 Exposing On Premise Data Installed on Enterprise Network Server Connect On Premise DBMS/ODBC Data Sources to the Cloud Secured over HTTPS on any Port you Choose Trust Configuration Between O365 and Local Environment Requires Windows Server 2012 or Windows 7 & 8.x

23 Analytic Infrastructure on Azure Infrastructure (IaaS) and Platform as a Service (PaaS) Compute VMs and Batch Process Management SQL Database Managed RDBMS as a Service Document DB NoSQL Document Database Redis Cache Key/Value Storage Cache HDInsight Provision Managed Hadoop Clusters Machine Learning ML Studio Stream Analytics Stream Processing Data Factory CLOUD ETL

24 Azure Architecture

25 Security in Office 365 and MS Azure Secured physical facilities Encrypted data at rest and in motion Synchronize with Enterprise Active Directory Regular backups Data kept regionally local Self Configured Security

26 Trending Cloud Analytics

27 Cross Industry Insurance & Financial Services Risk & fraud, customer analytics Transportation M2M, Internet of Things Telecom Customer profile monetization, revenue assurance Health Care Digital medical imaging, patient data Government Citizen Outreach, Open Data Initiatives

28 How Much Data? 2.5 quintillion bytes of data per day 98% of all data in the world today created in last two years.that s 2,500,000,000,000,000,000.or the entire contents of Library of Congress every 7 minutes.yet only 1% has been analyzed and used

29 How Much Data Is Too Much? So, Where s Waldo? 70% of sensory receptors in the human body are wired for visual input Our eyes send 10 million bits per second of visual information to our brains for processing Image copyright Where s Waldo

30 Data visualisation is not new.

31 Reporting vs. Analytics

32 Power BI Demo Agenda 10K Overview Power BI Features Power BI Portal Excel on Steroids (Power etc., ) Landing in the Portal Featured Reports - Olympics Demo View Report Show the Data Behind it Show the Mechanics of Report Usage Featured Reports - Power Demo Example Power Map Q&A Demo Explain the relationship between EXCEL, POWERBI and O365 Share/Message/Collaborate Share Follow Alerted when Data is Updated Demo Power BI App on Win X - Will run on a Windows Tablet

33 Real world example DELVE

34 Stay Tuned Machine learning TEACHING MACHINES TO FIND WALDO

35 What We Offer Cloud Analytics Strategy Construction with Roadmap Implementation Planning and Delivery Security Policy and Model Creation Environment Customization User and Admin Training

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37 It s time. Transforming Your Business in Era of the Cloud THANK YOU