Welcome!

Machine Learning Authors: Dan Blacharski, Ed Featherston, Liz McMillan, Jason Bloomberg, William Schmarzo

Related Topics: @DXWorldExpo, @CloudExpo, @ThingsExpo

@DXWorldExpo: Blog Feed Post

Identifying Where and How to Start the Big Data Journey | @BigDataExpo #BigData #DataLake #Analytics

Organizations are eager to realize the business benefits of Big Data that they don’t take the time to do the little things first

Decisions Exercise: Identifying Where and How to Start the Big Data Journey

The recent deluge of rains in Northern California have flooded streets, brought down trees and plugged storm sewers.  As I was trying to make my way around the neighborhood, I thought of a classroom exercise to help my MBA students to identify the use cases upon which they could focus data and analytics.  In this exercise, I’m going to ask my students to pretend that they have been hired by the city to “Optimize Street Maintenance” after these rainstorms. In particular, the students need to address the following questions:

  • Where and how do you start to address this initiative?
  • What data might you need to support this initiative?

These are classic questions that I hear all the time when I meet with clients about their big data journeys.  Let’s walk through how I’ll teach my students to address this challenge.

Step 1:  Identify and Brainstorm the Decisions
“Where and how to start?” is such an open ended question.  How does one even begin to think about that question?  We recommend that organizations start by identifying the decisions that need to be made to support the targeted business initiative, which is “Optimize Street Maintenance” in this exercise.

I will break up the students into small groups (3 to 5 students) and ask them to brainstorm the decisions that need to be made with respect to the “Optimize Street Maintenance” initiative.  Those decisions could include:

  • What streets and intersections need maintenance?
  • What storm sewers are blocked?
  • What is blocking those storm sewers?
  • What sort of maintenance is needed?
  • What is the impact of street cleaning and debris removal on flooding?
  • What streets and intersections should we fix first?
  • How busy are the streets and intersections?
  • What worker skills are needed to fix the street?
  • What equipment and materials are needed to fix the street?
  • What time of the day / day of the week is ideal for doing that maintenance work?
  • How many workers are available?
  • Do I have access to temporary workers?
  • How much overtime can I afford?
  • How do I warn residents that a road is flooded?
  • What options do I give residents when the major arteries are flooded?

This brainstorming is much more effective when you have brought together the different business stakeholders who either impact or are impacted by the “Accelerate Street Maintenance” initiative (see Figure 1).

Figure 1: Brainstorm Decisions Across Different Stakeholders

Some key process points about Step 1:

  • Allow individuals to brainstorm on their own at first. When it is entirely a group exercise, some folks go quiet and we potentially lose some good ideas.
  • Be sure to capture each decision on a separate Post-It note for later usage.
  • Place the decisions/Post-it Notes on a flip chart (or two).
  • You don’t need to group decisions by business function. I just did it here to demonstrate the process.

Finally, “all ideas are worthy of consideration.”  This is the key to any brainstorming session; to create an environment where everyone feels comfortable to contribute without someone passing judgment about his or her thoughts or ideas.

Step 2:  Group Decisions Into Use Cases
Next, we want to group the decisions into common subject areas or use cases (which is much easier to do if each decision is captured on a separate Post-It note).  I will bring all the students together around the decisions on Post-it Notes, and have them look for logical groupings.

Looking over the decisions captured above, we can start to see some natural “Accelerate Street Maintenance” use cases emerging, such as:

Prioritize Streets and Intersections

  • What streets and intersections should we fix first?
  • What streets and intersections are busiest at what times of the day?
  • What are the alternative route options during maintenance?
  • What are the alternative transportation options during maintenance?
  • What business parks or malls will be disrupted by the maintenance work?
  • Which streets and intersections raise safety concerns for bikers and pedestrians?

Estimate Maintenance Effort

  • What streets and intersections need maintenance?
  • What storm sewers need maintenance?
  • How much maintenance is needed?
  • What type of maintenance is needed?
  • What worker maintenance skills are needed?
  • What types of equipment and materials are needed?

Optimize Maintenance Effort

  • What worker skills are needed to fix the street?
  • How many workers with those skills are available?
  • What equipment is available to fix the street?
  • What tools are needed to fix the street?
  • What materials (concrete, asphalt) are needed to fix the street?
  • How effective is street cleaning and debris removal in preventing flooding?

Minimize Traffic Disruptions

  • Which streets are bottlenecks for schools and at what times of the day?
  • Which streets are bottlenecks for shopping malls and at what times of the day?
  • Which streets are bottlenecks for business parks and at what times of the day?
  • What are the alternative route options?
  • What are the public transportation options?

Minimize Maintenance Costs

  • How many workers are available?
  • To what temporary workers do we have access?
  • How much overtime can I afford?
  • How much maintenance budget is available?

Improve Resident Communications

  • What streets need maintenance?
  • What streets and intersections are likely to need maintenance?
  • What are alternative travel routes?
  • What are alternative transportation options?

Increase Resident Satisfaction

  • How many residents did the flooding impact?
  • How long were those residents impacted?
  • What comments or feedback are most important and/or relevant?
  • What phone calls are most important and/or relevant?
  • What social media postings are important and/or relevant?

See Figure 2 for an example of how the end point of Step 2 might look.

A key process point about Step 2:

  • Ideally you will end up with 7 to 12 use cases. If you have fewer than 7, then look for ways to break up some of the groupings.  If you have more than 12, then look for ways to aggregate similar use cases.  Not sure why, but 7 to 12 use cases always seems to work out to the right level of granularity in the use cases.

Step 3:  Prioritize Use Cases
Not all use cases are equal, and some use cases are dependent upon other use cases.  The prioritization matrix takes the different business stakeholders through a facilitated process to prioritize each use case vis-à-vis its business value and implementation feasibility (see Figure 3).

Figure 3: Prioritization Matrix

For more details on the prioritization process, check out these blogs:

Summary
The news really surprised no one:  “MD Anderson Benches IBM Watson In Setback For Artificial Intelligence In Medicine.”  From the press release:

“The partnership between IBM and one of the world’s top cancer research institutions is falling apart. The project is on hold, MD Anderson confirms, and has been since late last year. MD Anderson is actively requesting bids from other contractors who might replace IBM in future efforts.  And a scathing report from auditors at the University of Texas says the project cost MD Anderson more than $62 million and yet did not meet its goals.”

If big data were only about buying and installing technology, then it would be easy.  Unfortunately, companies are learning the hard way that the “big bang” approach for implementing big data is fraught with misguided expectations and outright failures.

Organizations are so eager to realize the business benefits of big data, that they don’t take the time to do the little things first, like identifying and prioritizing those use cases that offer the optimal mix of business value and implementation feasibility. While I applaud all efforts to cure cancer (my mom died from cancer, so I have a vested interest like so many others), sometimes “curing cancer” might not be the best place to start.  Identifying and prioritizing those use cases that move the organization towards that “cure cancer” aspiration is the best way to achieve that goal.

The post Decisions Exercise: Identifying Where and How To Start the Big Data Journey appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Dell EMC’s Big Data Practice.

As a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

@CloudExpo Stories
You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settle...
Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and co...
Blockchain. A day doesn’t seem to go by without seeing articles and discussions about the technology. According to PwC executive Seamus Cushley, approximately $1.4B has been invested in blockchain just last year. In Gartner’s recent hype cycle for emerging technologies, blockchain is approaching the peak. It is considered by Gartner as one of the ‘Key platform-enabling technologies to track.’ While there is a lot of ‘hype vs reality’ discussions going on, there is no arguing that blockchain is b...
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and...
The need for greater agility and scalability necessitated the digital transformation in the form of following equation: monolithic to microservices to serverless architecture (FaaS). To keep up with the cut-throat competition, the organisations need to update their technology stack to make software development their differentiating factor. Thus microservices architecture emerged as a potential method to provide development teams with greater flexibility and other advantages, such as the abili...
Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before. In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen - or needed.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
"As we've gone out into the public cloud we've seen that over time we may have lost a few things - we've lost control, we've given up cost to a certain extent, and then security, flexibility," explained Steve Conner, VP of Sales at Cloudistics,in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Blockchain is a shared, secure record of exchange that establishes trust, accountability and transparency across business networks. Supported by the Linux Foundation's open source, open-standards based Hyperledger Project, Blockchain has the potential to improve regulatory compliance, reduce cost as well as advance trade. Are you curious about how Blockchain is built for business? In her session at 21st Cloud Expo, René Bostic, Technical VP of the IBM Cloud Unit in North America, discussed the b...
The use of containers by developers -- and now increasingly IT operators -- has grown from infatuation to deep and abiding love. But as with any long-term affair, the honeymoon soon leads to needing to live well together ... and maybe even getting some relationship help along the way. And so it goes with container orchestration and automation solutions, which are rapidly emerging as the means to maintain the bliss between rapid container adoption and broad container use among multiple cloud host...
In his session at 21st Cloud Expo, Michael Burley, a Senior Business Development Executive in IT Services at NetApp, described how NetApp designed a three-year program of work to migrate 25PB of a major telco's enterprise data to a new STaaS platform, and then secured a long-term contract to manage and operate the platform. This significant program blended the best of NetApp’s solutions and services capabilities to enable this telco’s successful adoption of private cloud storage and launching ...
Imagine if you will, a retail floor so densely packed with sensors that they can pick up the movements of insects scurrying across a store aisle. Or a component of a piece of factory equipment so well-instrumented that its digital twin provides resolution down to the micrometer.
"Since we launched LinuxONE we learned a lot from our customers. More than anything what they responded to were some very unique security capabilities that we have," explained Mark Figley, Director of LinuxONE Offerings at IBM, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Sanjeev Sharma Joins June 5-7, 2018 @DevOpsSummit at @Cloud Expo New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
As DevOps methodologies expand their reach across the enterprise, organizations face the daunting challenge of adapting related cloud strategies to ensure optimal alignment, from managing complexity to ensuring proper governance. How can culture, automation, legacy apps and even budget be reexamined to enable this ongoing shift within the modern software factory? In her Day 2 Keynote at @DevOpsSummit at 21st Cloud Expo, Aruna Ravichandran, VP, DevOps Solutions Marketing, CA Technologies, was jo...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...