"Welcome to 2015's IT Infrastructure" - CIO presentation, June 3, 2015, Tampa, FL. Reviews state of modern 2015 Digital Enterprise, Digital Customer Journey impact on modern business model and IT infrastructure, resulting need for global shared data storage infrastructure. Presented by one of IBM Spectrum Scale's product managers, John Sing.
Downloadable if fully editable PowerPoint. Use for your benefit in business and career. All I ask is that you give me credit as the original author. Enjoy!
http://liesdamnedliesstatistics.com/2012/05/stats-that-show-why-you-need-a-mobile-first-approach-now.html
http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic
By 2014:
mobile will be main way of connecting to Internet.
Younger consumers are already doing so,
various activities ranging from social media to online shopping are increasing on smartphones.
Smartphones are becoming the primary camera for more and more people
coinciding with Instagram reaching 50 million users
while smartphone users are not only always connected but engage in content snacking as this US report says
In other words, what we consume may not be different
but how we consume it, how long for, how they share it and how they view it will be.
Graphic:
http://www.forbes.com/sites/glennllopis/2014/03/24/every-leader-must-be-a-change-agent-or-face-extinction/
In that article, the picture came from: http://blog.lamarsh.com
http://www.inma.org/blogs/value-content/post.cfm/hiking-the-customer-decision-journey
Comparing the “funnel” vs. the “Customer Decision Journey”
You can see tons of versions here:
http://www.pinterest.com/McKMktgSales/customer-decision-journey/
Nowadays, we describe the customer’s decision journey as more of an orbit. The farther away the customer ‘travel’s from your brand, the more consideration and pause and departure in their process of deciding to buy from you. The tighter the customer ‘travels’ to your brand, the more loyal they are.
Ideally, you of course should be spending (far) less to acquire a customer for a repeat purchase, than you did for their first purchase. Often, your most vocal advocates are your most loyal customers, giving rise to the idea of the “Loyalty Loop”.
Key takeaway: these 4 stages are the 4 “battlegrounds” for your customer’s business
Customers are more influenced by the “evaluate” and “enjoy / advocate / bond “ stages, than the “consider” and “buy” stages
Consideration
Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points
Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
Consideration
Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points
Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
Consideration
Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points
Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
Consideration
Customer considers an initial set of brands, based on brand perceptions and exposure to recent touch points
Customer impressions formed from: Advertising, news, conversation, product experience shapes the “initial consideration set” (only!)
With all of this as a context, now when we see the 1000s of articles like this one, they start to make sense:
http://www.ducttapemarketing.com/blog/2014/07/17/brand-advocates/
http://www.mckinseyonmarketingandsales.com/sites/default/files/pdf/Consumer_Experience_Journey_FNL.pdf
http://karenlevine.wordpress.com/2014/04/30/direct-marketing-who-does-it-well/
2012 Harvard Business School report – Business to Business follow-on: “Aligning with Consumer Decision Journey”:
http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization
http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
Complete discussion on the different elite IT talent required is here:
http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization
http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
More information and discussion on agile development, rapid releases is here:
http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
http://hbr.org/web/ideas-in-practice/aligning-with-the-consumer-decision-journey
http://www.mckinsey.com/insights/business_technology/reinventing_it_to_support_digitization
http://www.mckinsey.com/insights/marketing_sales/digitizing_the_consumer_decision_journey
Complete discussion on the different required sourcing and IT arrangements here:
http://www.slideshare.net/johnsing1/cloudbigdataanalyticsmobilesocialmoderninternetscalebusinessmodels2014johnsing
-The 3rd generation of computing platform, the 3rd phase of the Internet, and the explosion of Big Data are colliding to form a perfect storm of disruption and transformation
-To leverage this new computing platform, enterprises will require secure systems, advanced analytics, and cognitive fully systems
-When fully leveraged, this new platform will help us all make the world a smarter planet
-Characteristics of A Smarter Planet (Internet of Things)
Instrumented – Sensors, Embedded Devices, Generating Big Data
Interconnected – M2M Communications, Node-Node, Internet 3.0
Intelligent – Local/Edge Processing, Distributed Analytics, Cognitive Systems
The solution is a Shared storage infrastructure. That is the key to solving the problem because it reduces operational costs. Fewer administers can manage larger storage infrastructures.
IBM Spectrum Scale delivers high performance for petabytes of data and billions of files used in big data, analytics, and cloud environments.
IBM Software Defined Storage transforms data economics for traditional and new era workloads with new data flexibility, agility, and responsiveness – all delivered through software. And at the same time, maintaining the required security and reliability that are critical for your data systems.
Production proven with over 3000 clients and 100,000 systems, enhancements include:
Advanced data protection and built-in encryption for reliable security
Policy-based data movement to automatically optimize performance and costs - managing data, files and objects across a scalable storage cluster – with automation to move data among Flash, Disk and Tape. his capability help meet demanding application performance requirements – for example up to 6x faster with Flash while minimizing costs – such as up to 10x cost savings moving seldom used data to Tape
These capabilities complement IBM Software and Systems such as Power by delivering higher performance, reliability and security at lower cost for key workloads as well as being included in dozens of IBM and partner offerings. Some examples include:
Hadoop-based analytics with IBM InfoSphere BigInsights
Cognitive computing with IBM Watson Solutions
Content management with IBM Enterprise Content Manager to collect, serve and archive huge volume of files and objects. At our EDGE conference here in 3 weeks, we will be demonstrating OpenStack Swift access as an industry standard interface for large object archive workloads
If you have a storage infra and you are running Spectrum Scale, “There is a service for that.”
Please engage your customers. We can help them solve their problems. That is our business.
Key Contacts:
John Sing, Elastic Storage Server Product Manager jmsing@us.ibm.com
John Langlois, Elastic Storage SOFTWARE Product Manager johnlang@us.ibm.com
Janet Ellsworth, Elastic Storage Product Manager janetell@us.ibm.com [MulitCloud Toolkit, OEM relationships, Partnerships, GNR as SW]
Chris Porter, Elastic Storage on Cloud porterc@us.ibm.com
This is an overview of how Elastic Storage accelerates data intensive workflows.
Massive amounts of Data from High Output Devices like Genome Sequencers in Life Sciences to Market Data in Financial Services is ingested in parallel into a cluster of Elastic Storage Storage Servers.
From there, that data is processed in the compute cluster on top, both with conventional computation and Hadoop-based MapReduce techniques – all on the same compute/storage infrastructure – cutting costs and eliminating data movement.
After computation, data is then accessed, analyzed, and added value to by various local participants in the workflow as shown on the bottom of the diagram.
In addition to local data access, Elastic Storage empowers global collaborative workflows by caching data on Elastic Storage clusters anywhere in the world – providing low latency access to data anywhere its needed.
Finally, Elastic Storage can tier data automatically, significantly lowering the costs of storing data. From flash to high speed disks, to high capacity disks and even tape. And all data, no matter where it is, is still visible in the file system. Elastic Storage puts the right data in the right place at the right time with the right performance and the right cost.
We’ll go into detail on all of these features and benefits in the rest of the presentation.
Neeta:
HDFS: 3 copies of the data (Raw –in the app, ext4 on the node, HDFS). EXT4 on a given node has to large enough to hold the transitory data ( need special tool to leverage ext4 on all nodes)
Spectrum Scale: 1 copy of the data.. Raw data in the app is used directly by Hadoop apps.