This presentation reviews IBM's Social Capability reference architecture. It is a guide to understand the comprehensive nature of a social platform for conducting social business.
It focuses on the technology enablers to which customers should compare their IT strategy AND it allows the organization understand how to apply that technology for business benefit. Social Business capabilities are what business does, such as communicate, collaborate, share knowledge and insights, and leverage expertise.
Social software enables business success by providing people-centric:
-social networking and collaboration
-content and document management
-integrated digital (social, web, and mobile) experiences
-social analytics and reporting
This table shows linkage of the patterns, to the audience, to value proposition and Solutions. It’s not exhaustive, but representative.
Bring together and enhance your existing applications…think about how adding social functions and self-service with surrounding social intranet could help.
Instant mobile device support - for _________ HR application (fill in the space)
Languages and globalization support
Streamline, improve onboarding, planning, compliance etc…
Functional apps like skills locator, ideation , webforms etc...
User-generated content / business generated content, add content and social to any website or application.
Innovation and ideas tools – where and when you need them.
Support for compliance and documentation tracking, project management – easy and inherent user tools – with powerful security.
Aid acquisition and re-org with proven collaboration and sharing.
Analytics / Dashboards for CHRO and business teams – multi-system support.
Smart, affordable deployment help – success with long term teaming
Feel safe – references, use-case examples of other’s success
Build and maintain professional social networks
Driven by Profile and Streams
Collaboration 2.0 combines traditional collaboration models with open, business centric components that help individuals and teams get work done
Realtime chat, meetings, etc drive the communciations and interaction
Association enablers connectivily
Note about Social Analytics: there are many IBM tools that can provide the listening and insight capabilities that come from the social analytic enablers (as pictured in the RA). SAND, SmallBlue/Atlas, and even Connections provide relationship analysis (of course Connections is currently the only product among those. I2 is used in the context of some solutions (such as SIFT). Social Media anlaytics also comes from various products - http://www-01.ibm.com/software/analytics/solutions/customer-analytics/social-media-analytics – namely Cognos BI.
Operations
CorpComms
HR
Sales
Customer Service
The Social Use Case Model identifies the Roles engaged in the Initiative. In this case, the Initaitive is called “Libraries”. This comes from an actual local government Literacy Initiative within the local library system and across the entire locality.
The 6 Roles will have their own Use Case block (the second highlighted block – see next slide)
How People Use Social
Social capabilities fall within 4 key areas that drive the results of social. At the core, these are what people are doing when they are being social and leveraging IBM’s Social Capability.
Remember that there are 3 layers of composition of the RA. 1st layer are the 4 major components of the Social RA. 1st Layer components are composed of specific 2nd Layer components. Customers may need the 2nd Layer components in various combinations to achieve the solution. The 2nd Layer is composed of specific 3rd Layer enablers. One can identify the right 3rd layer components based on a clear understanding of a social business use case. The set of use cases cumulatively are achieved by many 3rd Layer enablers. Once idenfitied, the 3rd layer highlgiths the second layer which shows which major components in the RA are required, optional, and require integration and decisions.
IT Entry points into social can be understood in terms of Integration [this slide] or business processes [next slide] or as industry and solution patterns [next, next slide].
Customer need should drive architectural and integration decisions but areas of integration can be unique to social and become entry points to leveraging social capabilties and enablers (software).
The green arrows are well know ways to leverage social.
ActivityStreams can expose Process Flows and other human interactions in the context of enterprise systems (such as BPM) using OpenSocial as the integration point.
User Experience integration via portlets can aggregate multiple apps, content, and human interactions into a common web and mobile UX, navigation, and page-level integration.
Mobile access to social experiences and interactions in the context of the user can be realized as mobile apps or mobie web experiences.
Social can appear in Enterprise apps whereby the human interaction, content, etc are additive to the Application.
Search should include social and collaborative content from inside or outside the organization.
Social media can be leverage to drive engagement and insights from analytics can improve customer and employee understanding. Social media can also be aligned with communication goals.
Product positioning for Search
ICA only
Using ICA to replace native search interfaces within products, including Connections, is not ideal. Native Component product searches provide specific capabilities for power users and specific use cases and modifying product applications is costly.
ICA with Native Component Search
Most customer will use ICA for Enterprise Search but will also maintain product specific search capabilities for power users of that individual product. Individual vendor/product searches will have a place in any standards discussion.
Best approach is to (a) define the search entry points to provide to the users, then (b) determine what search service best supports the search entry points
Search Federation
Federating from multiple sources into ICA is not ideal as it is difficult to compare relevancy across the search engines. There are solutions to this such as selecting result "slots" for inserting other search engine results but can require hard coding.
Is this needed? - In recent discussions with Vivisimo, they do have a federation scheme but I don't have the details
ICAES is a better search solution across multiple repositories, a decision at implementation needs to be made if the ICAES engine will be used instead of the native search engines in each product (Portal, Connections, FileNet, etc) or in addition to those native search engines.
The advantage of using the native search engines is that they are tuned for those environments, understand the taxonomy of the repository and have fast performance. Many times the native search solution has specialized functions not easily reproducible in a single search engine.
The advantage of using a single search engine is ease of use (search from one place) and display of results (federation).
The disadvantage of using a single search engine is the requirement to build repository specific taxonomy rules so that the results across many different searches can be presented in a logical usable form. Can limit product specific functions available in native product search engines
This decision will be made at type of deployment/implementation by the client on the basis of the cost/time-to-deliver a federated solution vs. forcing users into a two tier process of global search to find which repositories might be of interest and then the native repository search for finding specific content.
WebSphere Portal contains its own built in search capability.
Limited to 500,000 documents
Only used within Portal
No ability to see external content repositories (such as IBM FileNet)
No federation capability with external search engine
IBM Enterprise Search with Content Analytics
Virtually unlimited in numbers of documents
Ability to see external repositories
Can be federated into Portal
Ability to be single global search engine
Content Analytics capability adds ability to create rules around context of content
For this solution, the ICAES offering is a better fit to the business requirements of finding content across many different sources and repositories.
Mobile Sites
Aggregates multiple apps/content
Web browser user experience
Personalized for roles
IBM WebSphere Portal
Mobile Apps
Dedicated, task focused app
Integrates to device (eg camera)
App downloaded from app store
IBM Worklight
Hybrid
Mobile Apps that include Mobile Site Content
Many clients have a need for both, due to device diversity, development cost and content management issues
Portal + Worklight
IBM has several different ways for access to a Social Business and Collaboration environment from a mobile device
Worklight (an IBM product)
Mobile Portal Accelerator (an add on to Portal)
Dedicated IBM Connections Application (an IBM product)
Navigator, ECMs mobile application and framework based on DOJO
The decision of which approach to take is dependent upon the type of experience the client would like the mobile user to experience.
Mobile Portal
Use when a wide array of android, iOS, RIM, Windows Mobile, Symbian and WAP-Browser devices all need to have the same experience.
Reformats the desktop browser page to display properly for the given device
Rich content, media or functional selection may be masked depending on device capabilities
Preferred method for high latency and low bandwidth connectivity
Worklight
Use when device choice is limited to android, iOS, RIM and Windows Mobile
Allows for full desktop experience on the mobile device
May still be subject to issues around high latency and low bandwidth connectivity
Dedicated IBM Connections Application from Device Application Store
Excellent if the functional target is just the Connections Environment
Deployment will be limited to devices supported by the Connections Application (iOS, Android, Windows Mobile, RIM)
IBM has two different products for storing files in Connections – Files and FileNet. When do you use which.
Files – a function within Connections
FileNet (an IBM product)
The decision of which approach to take is dependent upon the level of access control and security the client needs for documents put into the Connections environment.
Files
File access control limited to that used in Connections
No built in version control
Limited ability to shield identity of the file from SEARCH function
FileNet
FileNet comes with its own access and control mechanism
Built in version control
Ability to shield identity and specific file attributes from SEARCH function
Ability to segment a document repository to specific access for given users
IBM Filenet Content Manager
IBM Connections has a direct integration to IBM FileNet Content Manager as an underlying repository for Community Library services
ICS product direction is moving away from Quickr as a repository for Connections
IBM has several different type of analytics that can be applied to the Social Business Collaboration solution. This decision is on the type to be applied which drives selection of the products to be implemented.
Use and Profiling Analytics, which is part of the Connections Product, addresses questions like
Who is logging in?
How long do they use the system?
How fast are Communities growing
A link to the IBM Internal Connections Metrics can be found in the w3 Connections Community at:
https://w3-connections.ibm.com/wikis/home?lang=en#/wiki/W775f1e9e243b_4514_8a41_d4f985d45b48/page/Metrics
Navigation Analytics, which is delivered by Coremetrics Product, addresses questions like:
How are users navigating our Social site?
How do they move between pages?
What links on pages seem to be used most often?
Network Analytics is an IBM Research Asset and can be delivered to the client as part of a services engagement. This asset addresses questions such as:
Who talks to whom in the context of a topic?
Which SMEs are contacted or cited most often on a given topic?
Is there a geographic or language dependency in our collaboration?
A link to the SAND asset can be found at: http://sand.haifa.ibm.com/sandvis/#
Analytics of User Posted content in wikis, blogs and forums, can be analyzed using Semantic Search and Analytics. This capability is part of the ICAES or Search capability.
Analyze all data wherever it resides
The 3rd area I want to touch on today, is that this world of big data brings with it a new mix of information and the need of our clients to run analytics on data that is physically in different locations and, often, in a variety of storage technologies.
Our portfolio of products access a broad spectrum of data sources, from real-time streaming sources to Hadoop to relational data to flat files. The list is so comprehensive, so I just want to highlight a few of the most relevant for you here.
Those of you familiar with Cognos BI now we source from broad set of RDBMSs, transactional systems, appliances such as Greenplum and PureData system for Analytics powered by Netezza – as well as our real-time monitoring capability that goes against data-in-motion, or streaming data via JMS
Now with Cognos BI V10.2.1 now delivers support for
Big SQL from IBM InfoSphere BigInsights 2.1
Hive support for Apache Hive versions 0.8 or 0.9. The Hive support extends Cognos BI's reach to Hadoop offerings bundling Apache Hive such as
Cloudera
Hortonworks
Amazon Web Services Elastic MapReduce
In addition, we also now provide BI for analytic data stores such as SAP HANA and IBM’s newly announced DB2 with BLU Acceleration
Similar to Cognos BI, SPSS Modeler can work with this breadth of data, and as I mentioned, can integrate with InfoSphere Streams to enable real-time scoring while data is still in-motion.
IBM SPSS Analytic Catalyst is powered by IBM SPSS Analytic Server which enables the IBM predictive analytics platform to leverage big data, starting with Hadoop, to improve decisions and outcomes.
And it isn’t just connectivity, we know that a lot of the heavy lifting of running models, or querying to retrieve large data sets, is best by the data source, so we have the built-in smarts to push work down to where the data resides in order to minimize the amount of data movement and maximize our usage of the power of the data systems themselves as well as the hardware platform itself.
IBM SPSS Analytic Server
As we have discussed before, we released new capability of SPSS Analytic Server that underpins Analytic Catalyst, and can be exercised by SPSS Modeler Server
In its 1st release, Analytic Server provides us an integrated and open architecture supporting popular Hadoop distributions
It delivers processing that is distributed into the Hadoop environment for performance and scalability
It transparently leverages the compute power of distributed systems to deliver
It provides performance and highly scalable solutions to even the most complex analytical problems
And includes distributed processing of transformations, select model building, and model scoring
And includes R function support for distributed systems
Analytic Server furthers our mission to make sure all relevant data is available and accessible to fuel, fact-based decision-making.
Cognos Business Intelligence v10.2.1
Our continued investment in these smarts are born out in the impressive performance gains we are see across the board.
In addition to the advances in mobile and the access to broader set of big data sources, we have had maniacal focus on both query performance and overall BI performance.
The performance numbers you see here are for 10.2.1 against the base of the last release Cognos BI V10.2.0
Let’s talk about query performance first, as it is our BI platform’s job to query data and deliver it to the user in the fastest way possible.
This release saw 2x faster dynamic cubes
And with integration to DB2 with BLU acceleration, we deliver 10x faster database query, and 18x faster dynamic cube load
I encourage those of you unfamiliar with the latest release of IBM DB2 with BLU acceleration to take a look at it as it offers 5-25x faster reporting and analytics, 10x storage space savings, and requires no indexes, aggregates, tuning or SQL / schema changes
In terms of overall performance, we continue to achieve gains in all areas
3x faster mobile report retrieval and exection
10x more data in Active Reports due to opimitiation of the internale structure of the files and incrases use of compression among other advances
6x faster burst execution benefiting from such things as distributing burst reports across report servers
And to put this all in context, especially for those Cognos 8 BI clients listening in, we saw 56% improvement Cognos 8 to Cognos BI v10.1, 27% improvement 10.1 to 10.2, and now 43% improvement with this release. As you have heard me say before, never a better time to upgrade, not only for the new capabilities, but to benefit from our investment in performance!
Accelerate business value with solutions
Finishing up here, I want to spend a moment on solutions that provide business value with extraordinary differentiation bringing together analytics skills, products, research innovation and marketplace experience.
At top of slide is Social Media Analytics, that I will come back to in a moment.
But before I do, I want to mention our signature solutions Next Best Action, Fraud and Predictive maintenance.
Next best action is a solution to help clients build long-term customer relationships — one interaction, one decision at a time (example outcome: Insurance company increased agent retention by up to 40 percent)
Predictive asset optimization: help clients achieve significantly reduced operations and maintenance costs with maximized uptime (example outcome: Vehicle manufacturer reduced warranty costs 5 percent, reduced repeat repairs by 50 percent)
Anti-fraud, waste, and abuse: help our clients detect suspicious transactions prior to payment, minimize loss from overpayments and recommend method of intervention (example outcome: Healthcare provider significantly reduced false positive rate from 79 percent to 29 percent)
IBM Social Media Analytics
To spend a moment on Social Media Analytics.
It is a business-driven solution that can be implemented in a matter of weeks or months to deliver insight from social media data
A fact I forgot to mention at the beginning of this presentation when talking about customer initiatives, is that 84% of consumers rely on social networks for part of their decision-making, so social is really important.
And note that we see social media analytics is not just for consumers, it can be looking at citizens, employees etc.
This solution goes far beyond the simply listening or text counting some vendors offer. And is another great proof of integrating innovations across IBM to deliver client value, Social Media Analytics uses SPSS software for sentiment analysis and segmentation embeds InfoSphere BigInsights, leverages assets from IBM Research for demographic and geographic analytics, and integrates Cognos BI in its user experience.
New with this release are
First, capabilities around behavioral analytics, identifying such types as recommenders, detractors, potential users, location and demographic identification and inclusion in reports, influencer scoring
Second we added simplified Chinese to the list of languages supported which already included English, German, French, Chinese, Spanish & Dutch
And third, and to the delight of our clients, we now offer SMA as enterprise software, and software as a service.
IBM Social Media Analytics
We also added a number of specific analyses to help interpret the results, as well as pre-built dashboards to view results, and these can be edited by the client to suit their particular needs – or added to existing Cognos BI environments to enrich the decision-making process
Recap
So to recap what we have talked about today, we discussed how we enable you to
fuel all decision-making processes with information and analytics, both those managers and employees making decisions, and optimizing and automating operations and business processes
incorporate big data as part of the analysis and user experience without requiring our clients to resort to coding, or stitching together multiple tools from different vendors
analyze data where ever it lives, as we recognize you can’t always move the data to the analytics, you need to move the analytics to the data.
and implement solutions, to satisfy the need for time to value
Holistic
We address these needs with a holistic and integrated portfolio of offerings, some of which we discussed today.
We just touched upon SMA and its new capabilities and availability now as a SaaS offering
We spoke at length about SPSS Analytic Catalyst and how it is changing the game by opening up the world of big data to business analysts, telling the news story in big data, and helping to find what is relevant in all that noise
We talked about Cognos BI expanding access to more big data sources and providing that interaction point that brings all data together in the decision-making process, as well as touching on advances in Mobile for iPad. And we talked about advances in query performance and overall end-to-end performance gains of 43% over the last release, so that we don’t only get at more data, we can deliver it at speed too.
And we talked about the strength of SPSS Modeler deliver a graphical user interface for for experts and intermediate data scientists alike to bring predictive into mainstream analytics of your business.