This was a webcast earlier this week. It was not a slide presentation but more of an interactive Q&A.
Line of business and IT and data management; core of issue is lack of common technology, says SAP
How share common language, one trusted path
Challenges that businesses face today:
1. Need access to data
2. Once access, explosion of data
IT needs governance; problem is it takes time
Explosion of data - which data is relevant?
Issue of shadow IT
IT - govern data that you can trust, that is secure, compliant
Poll during webcast
Shadow IT puts data on risk if spin up instances, may be at risk
SAP Data Warehouse - govern data, access and speed of business
Expose data to line of business data; bring next to central governed data
"bring shadow IT out of the shadow"
Businesses face competition, can't wait for IT, and find solutions that work
Businesses need flexibility
IT needs to be involved
- past standard selection
- IT ensures solution that is scalable
- need to listen to requirements
SAP Data Warehouse Cloud listened to business and IT to bring all into software
Less than half of company's structured data is being used to make decisions
Less than 1% of unstructured data is governable/analyzable
80% of analysts' time is spent preparing data
What are requirements?
Explosion of data
Give access, but no way to consume
Need to find root-cause
Need 1 workspace to have all the data available for consumption - easy connectivity, easy data modeling (automate)
Want a solution that gives you these features
SAP Data Warehouse Cloud starts with the connectivity - make it as easy as possible using tiles
Secure with spaces
Bring data together with graphical easy to use tool and use SAP Analytics Cloud
Q: How much investment should a company have in data management?
A: Important to reach business goal
Have access to relevant data
Provide to business and consume
Data Warehouse Cloud does not need an upfront big investment
Small steps - return on investment, grow and scale
Q: Could you please help me understand spaces?
A: Isolated units to use
Can connect spaces
Pay as you go
Grow with demands
Governed space, or free space
Elasticity, compute and storage
Invite partners to bring content to spaces
Q: Does SAP Data Warehouse Cloud have SQL or BW compatibility?
A: Yes
A lot of customers using BW/SQL
Leverage BW concepts to SQL world
Can script
Q: If I am a BW customer today, what is your recommendation for me?
A: Leverage your BW investment and go hybrid
Use connectivity that BW gives you
Move new workloads to the cloud, to do more faster, more flexible
Q: Is Data Warehouse Cloud an open solution?
A: Yes, open to take data, and consume data (preferred BI) - use embedded
Q: What is the relationship between HANA Cloud Services, HANA Cloud, Data Warehouse Cloud, SAP Analytics Cloud?
A: HANA Cloud Services is umbrella term used for all data management
HANA Cloud is at core, in memory, doc, graph store, data lake
Data Warehouse Cloud built too
Consume with SAP Analytics Cloud
Q: Retail industry example?
A: Store - smart stores, track customers in store, preferences, habits, and given them recommendations on mobile
Volumes related to this
Data Warehouse Cloud has connectivity with Edge databases, central sales, and bring together, expose as universe data
Line of business and IT and data management; core of issue is lack of common technology, says SAP
How share common language, one trusted path
Challenges that businesses face today:
1. Need access to data
2. Once access, explosion of data
IT needs governance; problem is it takes time
Explosion of data - which data is relevant?
Issue of shadow IT
IT - govern data that you can trust, that is secure, compliant
Poll during webcast
Shadow IT Discussion
Shadow IT puts data on risk if spin up instances, may be at risk
SAP Data Warehouse - govern data, access and speed of business
Expose data to line of business data; bring next to central governed data
"bring shadow IT out of the shadow"
Businesses face competition, can't wait for IT, and find solutions that work
Businesses need flexibility
IT needs to be involved
- past standard selection
- IT ensures solution that is scalable
- need to listen to requirements
SAP Data Warehouse Cloud listened to business and IT to bring all into software
Data Management Discussion
Less than half of company's structured data is being used to make decisions
Less than 1% of unstructured data is governable/analyzable
80% of analysts' time is spent preparing data
What are requirements?
Explosion of data
Give access, but no way to consume
Need to find root-cause
Need 1 workspace to have all the data available for consumption - easy connectivity, easy data modeling (automate)
Want a solution that gives you these features
SAP Data Warehouse Cloud starts with the connectivity - make it as easy as possible using tiles
Secure with spaces
Bring data together with graphical easy to use tool and use SAP Analytics Cloud
Questions
Q: How much investment should a company have in data management?
A: Important to reach business goal
Have access to relevant data
Provide to business and consume
Data Warehouse Cloud does not need an upfront big investment
Small steps - return on investment, grow and scale
Q: Could you please help me understand spaces?
A: Isolated units to use
Can connect spaces
Pay as you go
Grow with demands
Governed space, or free space
Elasticity, compute and storage
Invite partners to bring content to spaces
Q: Does SAP Data Warehouse Cloud have SQL or BW compatibility?
A: Yes
A lot of customers using BW/SQL
Leverage BW concepts to SQL world
Can script
Q: If I am a BW customer today, what is your recommendation for me?
A: Leverage your BW investment and go hybrid
Use connectivity that BW gives you
Move new workloads to the cloud, to do more faster, more flexible
Q: Is Data Warehouse Cloud an open solution?
A: Yes, open to take data, and consume data (preferred BI) - use embedded
Q: What is the relationship between HANA Cloud Services, HANA Cloud, Data Warehouse Cloud, SAP Analytics Cloud?
A: HANA Cloud Services is umbrella term used for all data management
HANA Cloud is at core, in memory, doc, graph store, data lake
Data Warehouse Cloud built too
Consume with SAP Analytics Cloud
Q: Retail industry example?
A: Store - smart stores, track customers in store, preferences, habits, and given them recommendations on mobile
Volumes related to this
Data Warehouse Cloud has connectivity with Edge databases, central sales, and bring together, expose as universe data
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