This was an ASUG webcast last week given by ASUG, SAP and Blue Hill Research.
The agenda included what is analytics, business analytics, four key types, the domains of analytics, making it work in 10 steps and building an approach.
Figure 1: Source: ASUG
Figure 1 shows the big data market forecast through 2017. The speaker said to execute on Big data to provide business value
Figure 2: Source ASUG webcast
Figure 2 shows the services provided by big data
The trend for products and services includes application development tools and visualization
Also the services include humanizing data and presenting it in a consumable fashion
Figure 3: Source: SAP
Figure 3 shows the highest spend is in professional services
It shows broader categories of the types of opportunities
Figure 4: Source ASUG
Figure 4 shows both drivers and barriers for big data adoption
Mega vendors are starting to get message straight; from buzz words to products that can do this
There are no established best practices yet; it is the “wild wild west”
It is best to look at a use case
Figure 5: Source: ASUG
Figure 5 shows key drivers for big data
One of the business drivers is to find new business models to drive competitive advantages
You can use data to better target customers
Traditional solutions can’t keep pace with big data
Data is in all sorts of forms
With Vine videos and how get value from that
We are not there yet
Cost advantages of commodity hardware – speaks to Hadoop
Figure 6: Source: ASUG
Figure 6 shows the study with Harvard, C level action and Big Data sponsorship
Have to go to CEO to get buy in
It varies by organization and amount of decentralized
Figure 7: Source: ASUG
Customer-centric can be internal or external
For risk/financial, there is risk in banking, life sciences – more in specific industries
Employee Collaboration is hotter on the scene than before for employees to collaborate across different functions
Figure 8: Source: ASUG
Why need big data? The top 3 reasons are in red in Figure 8, with #3 being real time information with SAP HANA
Figure 9: Source: ASUG
Figure 9 shows the infrastructure priorities for big data
The top one, information integration, it is sometimes take for granted
Facebook has 100 TB a day and needs to be scalable
Security is important; see the Target security breach example
Figure 10: Source: ASUG
Velocity is huge with different forms of data. How HANA addresses it using real time nature of data
Variety includes different forms of data
Figure 11: Source: ASUG
Hadoop is complementary to HANA
Technology enhances human intuition and gut feel
On number 9 in Figure 11, look at what you need
End of big data, part 2 will cover Analytics
Learn more about Big Data from customer sessions at ASUG Annual Conference:
Adobe Shares Managing Big Data Across a Logical Data Warehouse with SAP HANA, SAP IQ, and Hadoop
Norwegian Cruise Line’s Industry-Leading Blueprint to Leverage Big Data for Competitive Advantage
Also learn about "Big Data" or HANA from the following ASUG Pre-conference session:
Jump Start ASUG Annual Conference SAPPHIRE with a Pre-Conference Session - Back and Better than Ever
Also see the following:
You are invited to submit a proposal to share your experience and expertise with your colleagues to speak at SAP d-code to be held October 20-24 in Las Vegas. Others will benefit from your experience while you make a valuable contribution to the profession's field of knowledge.
Follow this link to create a speaker account where you can formally submit your proposal, review important deadlines, and other general information about SAP d-code. The deadline to submit your abstract is May 25 (TODAY). If you have any questions, please e-mail sapdcodespeaker.info@sap.com
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