3. Technology innovation accelerates value
Complex implementations
Ad hoc analysis Dashboards
Enterprise data warehouse
Spreadmarts
Siloed data
Hadoop
Machine learning
OLAP
In-memory Any data
Internet of Things
Innovation
Transactional systems
ETL
Operational reporting
Value
4. Challenges to
unlocking data
insights
Integration with
existing tools
41%
Security &
manageability
37%
Lack of skills
& knowledge
59%
Connected
devices per adult
4.3
Source: Big Data & CIO Adoption Quantitative Research, Sept 2012, Microsoft
18. Query
(Hive)
Distributed Processing
(MapReduce)
Distributed Storage
(HDFS)
ODBC
Legend
Red = Core
Hadoop
Blue = Data
processing
Gray= Microsoft
integration
points and
value adds
Orange = Data
Movement
Green =
Packages
HDInsight and Hadoop Ecosystem
Key Points:
Data is currency in the 21st century
Companies that take advantage of data opportunities have the potential to outperform those that do not
Talk Track:
What asset is most leveraged by today’s thriving companies? Data.
We believe data will be a key differentiator for businesses today and in the future.
You constantly hear in the news about new ways in which businesses are using data as a competitive advantage.
You hear how people in those organizations are making fast, informed decisions like never before possible.
So the question is, what are these thriving companies doing with data?
Key Points:
To get the most value from your data you need to start thinking differently about the things to invest in.
Companies today that are getting the best returns from data are thinking in terms of innovation that is happening in the upper right.
Talk Track:
For us to get the most from data, we need to look beyond traditional data capabilities.
What we thought was advanced just a year ago, like Hadoop experimentation and dashboards, is giving way to more advanced data innovations and trends.
Trends like the Internet of Things are driving instrumentation of just about everything—providing a level of data and detail that we’ve never experienced before. Reports indicate that 85% of the data available was automatically generated.
Now that storage and computing power have reached commodity pricing levels, we can manipulate and process data at incredible speeds.
All of this gives businesses a really interesting opportunity to do more sophisticated things with data and the value it provides your company.
We aspire to be placed in the upper right, don’t we?
Where does your company sit on the data spectrum?
Talking Points:
Despite the need for data driven insights, organizations still struggle with broad adoption. If you ask customers why, key reasons include 1) lack of skills & knowledge (59%); 2) lack of integration across existing tools (41%); 3) lack of security and complexity of managing and administer data (37%).
Also, how we consume and collaborate on data is changing and it’s setting new expectations for how we work we. We have new expectations around mobility, collaboration, ease of discovery and search.
Microsoft is focused on addressing these challenges by delivering BI through SQL Server, the most widely deployed database on the planet (46% share); and by delivering BI through the familiar tools that people use every day, with Microsoft Office (over 1 billion people using Office)
Key Point: Tell the story of how BI has evolved over the past 10 years and highlight the key challenges IT faces with BI tools and deployment today.
Talking Points:
If you think about the evolution of BI over the past 10 years, it started out fairly simply with IT primarily aiming to (click)
Consolidate and connect to existing data sources
Stage that data for reporting and analysis(click)
And then provision it out via reports, dashboards or cubes to users (click)
However, today the line between producers and consumers is being blurred, end users in addition to the IT are creating BI content; today users expect to be able to do their own analysis and create their own reports. The two most common ways for end users to do this has been to use Excel spreadsheets and a wide array of specialized tools for analysis and reporting. (click)
In creating their own BI solutions, end users have effectively found ways to get data directly from various data sources and by-passed the formal IT solutions, making it challenging for IT to control, monitor and manage these BI solutions being used within organizations. (click)
Transition:
So how do you balance the need for end users to have agility and access to information to building BI solutions while continuing to maintain control and governance of the data?
Key Point:
Position Microsoft Business Intelligence as the only solution in the market that enables both end user agility through Self Service BI while continuing to provide IT with control and visibility of end user created assets as part of the Corporate IT driven BI solutions.
Slide Storyboard:
In the industry there are two groups of BI vendors. On the ‘Corporate BI’ side of the spectrum, we have vendors like Oracle, IBM and SAP through their recent acquisitions that now provide capabilities to connect to existing data sources, clean & stage that information out to eventually enable analysis, reporting and dashboards. For ‘Self-Service’, we have recently seen several niche start-ups that now cater to this growing need to do more with minimal interaction with IT. In order to bridge the corporate and self-service BI gap, organizations need capabilities that support both the needs of IT as well as End users. (Click)
Microsoft is the only vendor that has been deeply focused on solving for both the needs of the IT Professional with products such as SQL Server and SharePoint as well as the needs of End Users with the Office productivity tools, primarily Excel.
A complete approach to BI requires:
1. Provision: Providing IT with the tools to connect, clean, provision and stage the data for reporting or analysis
2. Empower: Providing end users with access to both internal and external data sources; making it easier for users to discover data through new provisioning techniques such as data search; and the ability to merge and analyze the data in a familiar environment like Excel.
3. Manage: Enabling IT to monitor end user content and actions and act accordingly based on usage and resource utilization needs.
Talk Track:
Microsoft has a unique history in Business Intelligence:
Enterprise grade: We’ve spend over 15 years investment in enterprise grade Business Intelligence with SQL Server. Building the industry leading analysis engine with Analysis Services, and the most widely used reporting tools with Reporting Services.
Empowering users: Microsoft has over 20 years of experience in building productivity tools now used by over 1 billion people. And we began integrating BI into Microsoft Office in 2007, pioneering in Self-Service BI.
Trust Cloud Provider: Microsoft is one of only a few companies that have our own world-class data center. We have billions invested in cloud infrastructure, with geo-redundancy, global locations, 99.9% uptime SLA, and secure infrastructure and transparent data practices. And we have experience running some of the world’s largest services on those data centers – eg. Bing.
On the forefront of Big Data: Microsoft has a unique perspective on Big Data – we have invested heavily in building and running a big data platform to fuel and drive our business. Microsoft is managing 100’s of Petabytes of data across our online properties. Adding 8 PBs per month, running 20k jobs per day to run the business.
This experience drives our innovation in Business Intelligence and approach to deliver familiar, powerful BI tools for everyone.
Talk Track:
Microsoft delivers on all 3 styles of Business Intelligence & Analytics:
Corporate Business Intelligence – providing IT with tools to connect, clean, provision, and manage data across the enterprise.
Self-Service Business Intelligence – empowering users with self-service capabilities to discover, analyze, visualize, and share data through the familiar Office tools they use every day.
Advanced Analytics – for both business analysts and data scientists to mine for deeper analytics insights, create predictive models, and apply advanced analytical techniques.
Talk Track:
As mentioned Microsoft has a rich history in Corporate Business Intelligence delivering the following for IT professionals….
Talk Track:
Dashboards and Scorecards in SharePoint:
Create corporate dashboards and balanced scorecards across the organization to allow the business to track key performance indicators and drill into root cause.
The most widely used reporting tool with Reporting Services:
Create high fidelity, pixel perfect operational reports for the organization or for embedding into corporate applications. Also benefit from the ease of consolidated management through SharePoint Central Administration. You can now enable reporting capabilities to all Information Workers by using a single administration point just like any other SharePoint feature.
An industry leading OLAP engine with Analysis Services:
Analysis Service is the industry’s leading OLAP engine and provides a single semantic model for all your content needs – supporting dashboards, analytical applications and ad-hoc reporting. Analysis Services also bridges the gap between end user created BI content in Excel and IT managed corporate solutions – IT professionals can now import PowerPivot workbooks directly into Analysis Services so that they can be professionally managed and transformed into corporate grade solutions by IT.
Efficiently Manage Data with Master data services:
Master Data Services (MDS) continues to make it easier to manage master data structures (object mapping, reference data, and dimensions and hierarchies) used in data integration operations. Also, a new Master Data Services Add-in for Excel allows users to get involved in master data management, making updates to the master data and submitting the changes back to the administrator of the MDS database.
Clean corporate data with Data Quality Services:
A completely new service to SQL Server 2012, Data Quality Services (DQS) helps round out end to end data management for organizations. DQS provides knowledge-driven tools customers can use to allow data stewards to create and maintain a Data Quality Knowledge Base which helps improve data quality and ease data management. Specifically, customers can gain confidence in data quality by using organizational knowledge to profile, cleanse, and match data. Data Quality Services can be run as a standalone tool or integrated with Integration Services (SSIS). Customers can also access the Windows Azure Marketplace as a source of 3rd party data to help validate and cleanse data in a data quality project.
Enterprise grade Data Integration with Integration Services:
SQL Server Integration Services (SSIS) helps lower the barriers to getting started with data integration by enabling organizations of all sizes with capabilities that increase efficiency and improve productivity related to information management and ETL. (New features include usability enhancements, deployment and administration enhancements, new reports for troubleshooting package operations, comparing and merging packages, and easier access to samples and tutorials.)
Talk track:
We provide new ways to extend your existing on-premises investments with new cloud based services that remove the friction of deployment and adoption and keep your people connected to critical business information from any device.
Through the data management gateway in Power BI for Office 365, the reports and queries that you publish to the cloud can be refreshed (on-demand or on a schedule) from on-premises data sources. This allowing you to share cloud based reports and workbooks without breaking the original connection to the underlying data source or requiring you to move all your data to the cloud. Ensuring the data in your reports is current. Cloud based reports and workbooks can be accessed from any device, and from anywhere.
Another example of extending your on-premises systems with new cloud-based services is Data Search. With data search you can enable users to easily discover and connect to data from across the organization by searching for it from within Excel. The service allows organizations to index the data they want to expose through search, while keeping the data and data level security on-premises.
Microsoft is focused on delivering cloud based solutions that complement your existing systems. So that you can decide on the right mix between on-premises and cloud based deployment, on your terms and based on the needs of your business.
Purpose: to demonstrate how our customers utilize the enterprise grade scale of our platform.
Talk Track:
Yahoo! Inc., based in Sunnyvale, California, is an Internet company that operates several popular websites. These sites, which include a search engine, web portal, and news feed, are visited by more than 700 million unique visitors each month, reaching more than 47 percent of the global online population.
Advertisers flock to these sites, attracted by the massive online audience. To help those advertisers analyze data on consumer reach and engagement, Yahoo! built Targeting, Analytics and Optimization (TAO), a powerful, scalable advertising analytics tool. TAO reports on the thousands of advertisers who run campaigns on Yahoo! sites such as Autos, Finance, Health, Mail, News, Search, Sports, and Travel, via the Right Media Exchange (RMX).
Specifically, Yahoo! advertisers wanted to provide more relevant ads to consumers, so the ads would be perceived as recommendations. For instance, targeted ads that are more relevant are more likely to make an impression on Yahoo! users, driving them to take action by viewing the ad or clicking on it.
To provide this information, Yahoo! sought more visibility into how consumers are responding to ads based on different categories such as websites, time of day, gender, age, location and interests. By offering this level of analytics, Yahoo! would be able to help advertisers reach their targeted audiences efficiently to achieve the best return on their investment.
The TAO infrastructure feeds 135 gigabytes of data per day into a SQL Server Analysis Services cube. The cube produces 24 terabytes of data each quarter, making it the largest known SQL Server Analysis Services cube in the world.
The new TAO solution has already helped Yahoo! improve campaign performance and boost customer spending on advertising. Additionally, Yahoo! can offer more relevant advertising data to its customers, and it can load and retrieve analytic data faster than before.
Case Study:
http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?casestudyid=710000001707
Talk Track:
As mentioned Microsoft pioneered Self-Service Business Intelligence, empowering end users through familiar Office tools while also:
Ensuring the solution is build on the Corporate BI platform to provide IT Professionals with added capability to manage and govern data usage across the organization.
Ensuring the solution leverages advanced analytic capabilities to provide business user with additional analytical power in the Self-Service BI tools.
Power BI for Office 365 is a complete self-service BI solution delivered through Excel and Office 365 that provides data discovery, analysis, and visualization capabilities to identify deeper business insights from data in Excel. The Power BI for Office 365 service is a cloud-based solution that enable collaboration and reduces the barriers to deploying a BI environment for sharing reports and accessing information.
SUGGESTED DEMO:
Demo featuring Power Query, Power View, Power Pivot and Power Map in Excel 2013. Demonstrate stage two of data science process – making it possible for everyone to form theories, analyze and refine – to work with big and small data using familiar powerful tools. Ultimately revealing insights.
We provide advanced analytics for both business analysts and data scientists to mine for deeper analytics insights, create predictive models, and apply advanced analytical techniques.
In conclusion, Microsoft is focused on delivering Business Intelligence and Analytics as part of a complete set of integrate capabilities in our Data Platform as can be seen here. Our Business Intelligence solution is focused on bringing together all aspects of Business Intelligence across:
Corporate Business Intelligence – providing IT with tools to connect, clean, provision, and manage data across the enterprise.
Self-Service Business Intelligence – empowering users with self-service capabilities to discover, analyze, visualize, and share data through the familiar Office tools they use every day.
Advanced Analytics – for both business analysts and data scientists to mine for deeper analytics insights, create predictive models, and apply advanced analytical techniques.
By bringing these capabilities together we aim to meet the needs of everyone across the organization by uniquely integrating these capabilities on one platform.
