Welcome!

Microservices Expo Authors: Elizabeth White, Pat Romanski, PagerDuty Blog, Derek Weeks, Liz McMillan

Related Topics: @CloudExpo, @DXWorldExpo, @ThingsExpo

@CloudExpo: Blog Feed Post

Five Questions that Define Your #DigitalTransformation | @ThingsExpo #DX #IoT #SmartCities

Addressing these questions will ensure that your organization is exploiting the value of data and the power of analytics

I recently had the opportunity to give a 10-minute keynote at DataWorks Summit 2017.  I know what most of you are thinking: Schmarzo can barely introduce himself in 10 minutes! What sort of keynote could he give in just 10 minutes?  And to be honest, I too struggled with what to say.

But after some brainstorming with my marketing experts (Jeff Abbott, Erin Banks, and Chris Hill), we came up with an idea:  Pose five questions that every organization needs to consider as they prepare themselves for digital transformation.  And while I didn’t have enough time in 10 minutes to answer those questions in a keynote, I certainly do in a blog!

So here we go!!

Question #1:  How effective is your organization at leveraging data and analytics to power your business model?
The Big Data Business Model Maturity Index was developed to help organizations to measure or benchmark their effectiveness in exploiting big data and advanced analytics to power their business models.

  • Advance beyond the Business Monitoring stage where organizations are using data and analytics (data warehouses and Business Intelligence) to monitor or report on what has happened
  • Transition to Business Insights (to predict what’s likely to happen) and Business Optimization (to prescriptive specific actions based upon those predictions)
  • Move into the Insights Monetization (not Data Monetization) phase where organizations monetize the insights that they have gleaned about their customers, products, operations and markets.

For more details, see the following blogs:

Question #2:  Do you understand your organization’s key business initiatives and how they benefit from big data?
If you want to deliver business value with your big data initiative, then it only makes sense to focus on what’s important to the business. That means you need to invest the time to understand the organization’s key business initiatives.

  • A business initiative is a cross-functional mandate on which the organization has been goaled to address, often within the next 9 to 12 months.
  • Once you have identified a key business initiative, then work with the key business stakeholders (those business functions that either impact or are impacted by the business initiative) to identify, group and prioritize the decisions that the business stakeholders need to make in support of the business initiative.
  • Consider the questions that must be answered in order for those stakeholders to make those decisions, and identify the data sources that might be useful to the data science team for answering those questions.
  • Identify the supporting architectures and enabling big data technologies.

Figure 2: Start with the Organization’s Business Initiatives

For more details, see the following blogs:

Question #3:  Do you have business stakeholder active participation in setting your use case roadmap?
It’s critical to the success of your big data initiative to gain business stakeholder support and guidance on day one.

  • Think “Business First” by identifying, validating and prioritizing the use cases that support the targeted business initiative. Focus on the “4 M’s of Big Data” (Make Me More Money) and not on the “3 V’s of Big Data” (whatever they are).
  • Set up facilitated envisioning workshops to brainstorm with the business stakeholders the data sources that might yield better predictors of performance; that is, what business questions might we be able to answer in support of the key decisions, with various combinations of data
  • Prioritize the use cases and start by focusing on a single or couple of use cases. If you don’t “Prioritize and Focus”, you will be forced to embrace a “Technology First” approach in order to try to satisfy all the use cases, which means that you’ll likely solve none of the use cases.

Figure 3: Build Active Business Stakeholder Participation

For more details, see the following blogs:

Question #4:  Do you understand the economic value of your data and how that affects your technology and business investments?
Data is unlike any asset that we have ever seen before. There is no asset on your financial books that act or behave like data. Unfortunately, organizations have struggled to come up with an approach that captures the true value of the data.

  • Traditional accounting with cost-based valuation minus depreciation for business assets is the wrong approach. That values assets on historical value; the value that you paid for them, and the value goes down as the asset ages, or is “consumed”.
  • We needed a forward-looking valuation technique. We are embracing a methodology that uses a combination of economics (Data Multiplier Effect) and Data Science to determine the future or predictive value of data in optimizing the business use cases.
  • “Data is the New Oil” over-simplifies the dynamic value of data. Instead, imagine having a single barrel of oil that could be used to fuel an infinite number of vehicles…and it never depletes. That’s data!

Figure 4: Determining the Economic Value of Data

For more details, see the following University of San Francisco research paper:

Question #5:  Do you understand how to create a platform that exploits the economic value of your data?
Having this valuable data asset does no good if one can’t create an environment that exploits its potential.

  • Create a “collaborative value creation” platform that nurtures the on-going collaboration between the business and the data science team.
  • Implement Data-as-a-service and ensure that proper data management services (e.g., data governance, metadata management, security, privacy, cataloging, indexing) are implemented to preserve and propagate the value of the organization’s data.
  • Build Analytic Profiles to ensure that the resulting analytics can be operationalized, and that the organization can extend the usefulness and value of the analytics across multiple use cases.

Figure 5: Creating the Collaborative Value Creation Platform

For more details, see the following blogs:

Summary
That’s it, just 5 questions. Addressing these 5 questions will ensure that your organization is exploiting the value of data and the power of analytics to guide your organization’s digital transformation.

Figure 6: 5 Questions to Guide Your Digital Transformation

You can also check out a video of my DataWorks Summit keynote presentation (enjoy my air guitar at the end!).

The post 5 Questions that Define Your Digital Transformation 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”, is responsible for setting the strategy and defining the Big Data service line offerings and capabilities for the EMC Global Services organization. As part of Bill’s CTO charter, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, avid blogger and is a frequent speaker on the use of Big Data and advanced analytics to power organization’s key business initiatives. He also teaches the “Big Data MBA” at the University of San Francisco School of Management.

Bill has nearly three decades of experience in data warehousing, BI and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.

Previously, Bill was the Vice President of Advertiser Analytics at Yahoo and the Vice President of Analytic Applications at Business Objects.

@MicroservicesExpo Stories
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the business impact of software failures. How can software testing professionals keep pace with modern application delivery, given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery)? This is where continuous testing comes in. D
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone in...
Many IT organizations have come to learn that leveraging cloud infrastructure is not just unavoidable, it’s one of the most effective paths for IT organizations to become more responsive to business needs. Yet with the cloud comes new challenges, including minimizing downtime, decreasing the cost of operations, and preventing employee burnout to name a few. As companies migrate their processes and procedures to their new reality of a cloud-based infrastructure, an incident management solution...
Some people are directors, managers, and administrators. Others are disrupters. Eddie Webb (@edwardawebb) is an IT Disrupter for Software Development Platforms at Liberty Mutual and was a presenter at the 2016 All Day DevOps conference. His talk, Organically DevOps: Building Quality and Security into the Software Supply Chain at Liberty Mutual, looked at Liberty Mutual's transformation to Continuous Integration, Continuous Delivery, and DevOps. For a large, heavily regulated industry, this task...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex ...
Gaining visibility in today’s sprawling cloud infrastructure is complex and laborious, involving drilling down into tools offered by various cloud services providers. Enterprise IT organizations need smarter and effective tools at their disposal in order to address this pertinent problem. Gaining a 360 - degree view of the cloud costs requires collection and analysis of the cost data across all cloud infrastructures used inside an enterprise.
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.
Gone are the days when application development was the daunting task of the highly skilled developers backed with strong IT skills, low code application development has democratized app development and empowered a new generation of citizen developers. There was a time when app development was in the domain of people with complex coding and technical skills. We called these people by various names like programmers, coders, techies, and they usually worked in a world oblivious of the everyday pri...
Our work, both with clients and with tools, has lead us to wonder how it is that organizations are handling compliance issues in the cloud. The big cloud vendors offer compliance for their infrastructure, but the shared responsibility model requires that you take certain steps to meet compliance requirements. Which lead us to start poking around a little more. We wanted to get a picture of what was available, and how it was being used. There is a lot of fluidity in this space, as in all things ...
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
The notion of improving operational efficiency is conspicuously absent from the healthcare debate - neither Obamacare nor the newly proposed GOP plan discusses the impact that a step-function improvement in efficiency could have on access to healthcare (through more capacity), quality of healthcare services (through reduced wait times for patients) or cost (through better utilization of scarce, expensive assets).
Admiral Calcote - also known as Lee Calcote (@lcalcote) or the Ginger Geek to his friends - gave a presentation entitled Characterizing and Contrasting Container Orchestrators at the 2016 All Day DevOps conference. Okay, he isn't really an admiral - nor does anyone call him that - but he used the title admiral to describe what container orchestrators do, relating it to an admiral directing a fleet of container ships. You could also say that they are like the conductor of an orchestra, directing...
Cloud Governance means many things to many people. Heck, just the word cloud means different things depending on who you are talking to. While definitions can vary, controlling access to cloud resources is invariably a central piece of any governance program. Enterprise cloud computing has transformed IT. Cloud computing decreases time-to-market, improves agility by allowing businesses to adapt quickly to changing market demands, and, ultimately, drives down costs.
For DevOps teams, the concepts behind service-oriented architecture (SOA) are nothing new. A style of software design initially made popular in the 1990s, SOA was an alternative to a monolithic application; essentially a collection of coarse-grained components that communicated with each other. Communication would involve either simple data passing or two or more services coordinating some activity. SOA served as a valid approach to solving many architectural problems faced by businesses, as app...
Some journey to cloud on a mission, others, a deadline. Change management is useful when migrating to public, private or hybrid cloud environments in either case. For most, stakeholder engagement peaks during the planning and post migration phases of a project. Legacy engagements are fairly direct: projects follow a linear progression of activities (the “waterfall” approach) – change managers and application coders work from the same functional and technical requirements. Enablement and develo...
The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
Recent survey done across top 500 fortune companies shows almost 70% of the CIO have either heard about IAC from their infrastructure head or they are on their way to implement IAC. Yet if you look under the hood while some level of automation has been done, most of the infrastructure is still managed in much tradition/legacy way. So, what is Infrastructure as Code? how do you determine if your IT infrastructure is truly automated?
Every few years, a disruptive force comes along that prompts us to reframe our understanding of what something means, or how it works. For years, the notion of what a computer is and how you make one went pretty much unchallenged. Then virtualization came along, followed by cloud computing, and most recently containers. Suddenly the old rules no longer seemed to apply, or at least they didn’t always apply. These disruptors made us reconsider our IT worldview.
As people view cloud as a preferred option to build IT systems, the size of the cloud-based system is getting bigger and more complex. As the system gets bigger, more people need to collaborate from design to management. As more people collaborate to create a bigger system, the need for a systematic approach to automate the process is required. Just as in software, cloud now needs DevOps. In this session, the audience can see how people can solve this issue with a visual model. Visual models ha...