Smarter Analytics: Hybrid Analytics for Cloud and On-Premise #ASUG Webcast Recap Part 1
This was an ASUG webcast from earlier this year. Part 2 and 3 are coming soon.
Be sure to register for tomorrow’s related webcast Cross-Solution Analytics with SAP Analytics Cloud and upcoming webcasts. Tell us what you would like most to hear in this survey.
BI-modal IT is shown above
Business & IT collaboration needs to be better
Increasingly, with business moving faster with “digital transformation”, selling data, change leads to differentiation
IT is trying to keep the lights on, with increasing pressures of security, high availablility, network threats
Two groups in separate direction
Data remains same; underneath applications
Holistic data foundation
“More advanced customers have up to 50% of their employees using Analytics.” (source: SAP)
Adoption is a challenge; less than 20% of employees have access to analytics
How get more analytics to more people
Make sure analytics is embedded where the users are
Analytics is spread everywhere in different portals, SharePoint, different sites, email, personal devices
New employees have to find this information
This can be a high barrier to usage
If you’re one of the 20% who has access, reach 3rd barrier – can I trust data? When was it refreshed? Is it from a high quality system?
It is not just about delivering analytics; it is about self-service
Moving from 20% to 70% – no way to get there using stylized reports
End users to deploy their own reports
Needs to fit inside holistic analytics strategy
Creating an analytic strategy
Know objectives, business needs – centralized competency center
Hybrid analytics is a key component
Competency center – building programs, evangelizing, training programs, mapping value that group is providing
Building strategy – SAP has a workshop for free, ask account rep for analytics strategy
That was the framework
Hybrid analytics – customers not using this phrase
Definition is there to use
“seamless user experience” so user not think of where data is residing
- Article of how competency centers are changing
- It is not just IT, analytic skills and business skills – center – work being done
- Link to blog
- Business Skills:
- Understanding of line-of-business (LOB) needs
- Ability to help business managers set and balance priorities by analyzing consequences of choices and creating business cases
- An understanding of the organization’s strategic business objectives and the role action-oriented information plays in achieving the corporate objectives
- Stewardship skills to drive standardization of official hierarchies, business vocabularies and other relevant business terminology, and to participate in semantic reconciliation and ongoing data-quality efforts
- IT Skills:
- Ability to understand the business intelligence infrastructure implications of business and analytic requirements
- Deep understanding of how to access and manage data required to support business and analysis requirements
- Deep understanding of diverse business intelligence and performance management tools and technologies
- Understanding of the differences in design and access characteristics of diverse data sources
- Data governance, architecture and management skills
- Data administration and metadata management skills
- Analytical Skills
- Fluency with key analytic applications
- Researching business problems and creating models that help analyze these business problems
- Working with the IT department to develop insight into how to identify data for a specific analysis or application
- Skills to train the users in how to transform data into action-oriented information, and how to use that information (source: SAP)
It is about more than technology – have programs around it, training, where publish assets, who can access
Data foundation needs to be rock solid
More live stream data, more cloud data sources, blending and merge
How find right sources together
Policies for right amount of governance
Part of information governance program
Information Governance and BI need to be “best friends”
1.Refine the data schema and database architecture underpinning the BI system so business users could easily locate data.
2.Add metadata where possible, including definitions, aliases, and owners. Tip: Start a business glossary, like SAP Information Steward’s Metapedia.
3.Perform routine cleansing and de-duplication.
4.Promote your best, widely-used sources to enterprise sources. Create universes or views of these sources, and gate access with user controls. Tip: Review universes and create smaller, more focused ones for specific audiences to make them easier to use.
5.Decide which existing queries, transformations, and views you can reuse from enterprise systems. How will you control performance implications? (Source: SAP)
“SAP helps give insight to make better decisions”
Decision making is a process and to succeed in the digital economy just having access to more data isn’t enough. Organizations need to turn data into meaningful insights, improve decision making, and take immediate action.
SAP can help you lead your organization’s digital journey and address the challenges of data proliferation from enterprise data, Big Data, IoT, and beyond. And we help you to transform your all of data, the foundation of a digital enterprise, into insight to drive innovation and create business value.
BI, planning and predictive in one solution
Above shows what the market
SAP has put this in one application in SAP Analytics Cloud
Analytics solutions on the market today are fragmented at best and only provide one part of the complete picture. BI technology typically looks at historical data, “what has happened” but isn’t connected with future plans and outcomes. Plans aren’t connected with simulations and modelling based on automated machine learning algorithms to uncover hidden insights. And all of these elements aren’t connected with the ability to take immediate action within a business process whether it’s a decision being made by the board or from the front line. (Source: SAP)
Should have planning integrated
Data prep across multiple stories
- SAP is creating a highly differentiated solution
- “Interactive Analytics” is the intersection of BI, Predictive and Planning
- Putting these together forces competitors to play a different game (Source: SAP)
What to do next
Explore Relevant Data
Simulate & Predict What Will Happen
Plan a Course of Action
ACT! – Implement Decisions (Source: SAP)
Leading the cloud – digital boardroom, to help disrupt business
Innovate core – what you have on-premise has a roadmap in front of it
Customers will have a mix; that is hybrid analytics
Two grey arrows – hybrid analytics
- SAP Analytics Cloud off to great start – Continue innovation quickly and lead the Cloud
- Protect Investment in On-Premise: Hybrid, “Build Bridges” (Source: SAP)
Cloud – SAP Analytics Cloud, Digital Boardroom
SAP BusinessObjects provides all the analytical capabilities that SAP BW/4HANA users need including reporting, analysis, dashboards and applications, advanced analytics and planning and consolidation
– for both on-premise and cloud deployments of BW/4HANA.
SAP BEx analytical tools are no longer supported with BW/4HANA
Planning/predictive rolled together in cloud
Sits on top of SAP Cloud Platform
SAP’s vision for SAP Analytics Cloud (SAC) is to connect to both on premise and Cloud data sources and applications. Analtyics Cloud is a SaaS platform and is separated into 4 areas:
Core Capabilities – The first layer are core capabilities that are included in all Analytic capabilities and applications such as Data connectivity and Modeling, Administration and Auditing, Story Experience, and Collaboration.
Analytic Capabilities – The second layer are our 3 analytical capabilities: BI, Planning, and Predictive. No other competitors have all these Analytic capabilities.
Embedding Capabilities – SAP is building APIs to integrate and embed SAP Analytics Cloud into SAP, 3rd Party, and customer applications.
Applications – The third and top layer are the Analytical applications. SAP Digital Boardroom is an example of an SAP Analytics Cloud application. SAP and our partners continue to look at building additional analytical applications and content that can be consumed on the App Marketplace. (Source: SAP)
SAP Analytics provides both Private and Public Cloud options:
Private Cloud (IaaS) – BusinessObjects Enterprise can be deployed on premise or hosted on HEC, Amazon Web Services, Microsoft Azure, GCP, as well as 3rd party hosting providers. Customers can leverage their existing BOE licenses in a hosted model (aka Bring Your Own License). With HEC, we can provide BOE licenses in a subscription model. The benefit of the private BOE cloud model is for customers who don’t want to manage their infrastructure internally and offload those costs to a hosting provider. Customers would still need to administer and upgrade their BOE system in this hosted model, however, HEC does provide a managed service offering to help customers with the administration and upgrades of BOE.
Public Cloud (SaaS) – Our solution for public cloud is Analytics Cloud which can only be sold on a subscription model. The benefit of Analytics Cloud is that it allows customers to try out all of our analytics capabilities (BI, Planning, and Predictive) on one platform with one user experience.
Note: SAP Analytics Cloud is a new SaaS application and doesn’t support BOE content types like Lumira, Crystal Reports, Webi, Design Studio. BusinessObjects Cloud should be positioned to complement an existing BOE platform by focusing on new use cases (ie Digital Transformation, extending SAP Cloud applications and SCP applications). We will cover these examples throughout the presentation. (Source: SAP)
To be continued