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The ultimate tip for your data analytics journey: Get started

Anthony Dina

Anthony Dina

Director of Data Analytics across North America at Dell EMC
With twenty years in the IT industry, Anthony Dina serves as the North America Director of Data Analytics at Dell EMC. He leads a team of solutions architects that synthesize the tsunami of new data types (machine, application, person-driven) with traditional systems of record. Their expertise in big data, data warehouse modernization and analytic modeling helps customers succeed in the era of Digital Transformation. This work not only involves intellectual property from Dell EMC but also from partners like Cloudera, HortonWorks, Splunk, and SAP. Prior to this, he served as executive director of strategy and director of solutions marketing. He has earned a Masters of Business Administration from the University of St. Thomas and a Masters of Fine Art from Cranbrook Academy of Art. His technical certifications include ITIL v3 Foundation and ITIL Services Strategy.
Anthony Dina

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Data analytics is rapidly emerging as a key to success in the new digital economy. To capitalize on this opportunity, organizations need to rethink the status quo and invest accordingly.

When it comes to organizations and their data analytics journeys, a quote often attributed to Mark Twain seems especially appropriate: “The secret to getting ahead is getting started.”

While data analytics is rapidly emerging as a key to business success in the new digitally driven economy, many organizations are just exploring or in the early stages of their data analytics journeys. Basically, many people are just kicking the tires of the data analytics vehicle. And that’s a problem, because you can’t get anywhere with data analytics until you are actively using data analytics.

A survey by IDG Research Services suggests that just 36 percent of organizations have data analytics projects in progress. Most of the rest of the survey respondents fall into the stages of exploring, planning or pilot testing analytics projects. And then there are the laggards—the 10 percent of organizations who don’t have data analytics on their radar.[i]

These numbers need to change. Based on the business results organizations see as they gain competitive advantages through data analytics, it’s extremely important to get started down the path to data analytics with the ultimate goal of digital transformation.

About those business results: An extensive survey of IT and business decision-makers, commissioned by Dell EMC and conducted by TNS, found that organizations actively using big data, cloud and mobility technologies are growing up to 53 percent faster than the laggards of the world.[ii]

In another large survey, this one of more than 4,000 business leaders around the world, Vanson Bourne and Dell Technologies found that more than half of respondents (52 percent) have already experienced significant disruption to their industries as a result of digital technologies, and more than three-fourths of respondents (78 percent) consider digital startups as a threat, either now or in the future.[iii]

Clearly, digital transformation is not just an opportunity; it’s also a threat—to those organizations that don’t get started in a timely manner. So, what’s holding organizations back?

The Vanson Bourne/Dell Technologies survey found that the top barriers to progress are:

  1. Insufficient budget and resources
  2. Lack of executive support
  3. Inadequate expertise and skills
  4. Technologies that can’t work at the speed of business
  5. Data privacy and security concerns

How can your organization overcome these barriers? The first step is to recognize that the digital transformation you make today is the key to future competitiveness. The next step is to rethink the status quo and invest accordingly.

The report from Vanson Bourne and Dell Technologies boils the advice down to a simple, clear sentence: “Organizations, at every stage, will need to couple the latest and greatest in technology with a shift in mindset, an investment in their staff and a bold approach which includes rethinking business models.”

If you follow that advice, your organization will be positioned to compete more effectively in the digital economy. That’s what happens when you put the strategies and technologies in place to capitalize fully on your digital assets—the massive amounts of data you generate every day.

As the Vanson Bourne/Dell Technologies report notes: “Businesses of every kind still have a chance to leap ahead. Change, if embraced correctly, can open a world of opportunity.”

The key is to get started.

 

[i] IDG Research Services. IDG TechPulse survey. Jan. 10, 2016.

[ii] “Global Technology Adoption Index 2015.” A survey commissioned by Dell EMC and conducted by TNS.

[iii] Dell Technologies. “Embracing a Digital Future.” 2016.

 

 

Revealing the secret to speed and flexibility for data analytics

William Geller

William Geller

Data Analytics Product Marketing at Dell EMC
William Geller has been involved in new technology and data science for over 15 years, with experience launching and marketing new products for both startups and in enterprise, around the world. William is the Principal Product Marketing lead for Data Analytics in the Solutions Marketing division of CPSD. Prior to joining Dell EMC, he worked for numerous startups in Healthcare IT, Social Network Analytics, and cyber security. He holds a VMware VCP4.0 accreditation. Willam has an BS in Electrical Engineering from Drexel University and an MBA from Babson College. You can find him on Twitter at @williamgeller
William Geller
William Geller

Most companies recognize that they have opportunities through data analytics to raise productivity, improve decision making, and gain competitive advantage. Unfortunately, the majority of initiatives fail to move beyond the experimental stage, or analytic insights are not operationalized back into the business as intended. The causes range from inaccessibility to siloed data, time invested in continually gathering theAnalytic Insights Module technology review - data analytics data before performing analytics, and long lead times for resources from IT.  Recently, Enterprise Strategy Group (ESG) reviewed Dell EMC Analytic Insights Module, which is engineered to smooth out these friction points in the data analytics lifecycle.  It’s delivered on Dell EMC Native Hybrid Cloud, combining a self-service data analytics experience with cloud-native application development in a single cloud platform.

What did ESG do?

ESG reviewed Analytic Insights Module from end-to-end, reviewing data processes across the entire analytics lifecycle. Their study focused on both the technical and the user experience aspects, and the results are in.

Analytic Insights Module delivers faster time to actionable insights and continual ease of use over other solutions for data discovery, ingest, and analysis. We’re not surprised, though. Analytic Insights Module was specifically engineered to make data analytics and operationalizing insights easier, so organizations can focus on their business rather than the technology.

What were some of the results? 

ESG found incredible benefits in terms of speed, flexibility of the analytics environment, and overall benefit to building an in-house solution. A couple of the many observations from the study include:

  • Self-service analytic workspaces with Hadoop clusters stood up in just 15 minutes.
  • Users can implement a robust data analytics solution 47% faster, on average, than building it in-house.

Why should your businesses care?

Faced with competitive pressures, businesses need to differentiate themselves among the sea of options in the market. Insights derived from data analytics can help businesses gain the edge they need, but technical obstacles have often stymied progress. Analytic Insights Module removes these barriers by enabling data analyst teams to get to work quickly delivering insights back into the business within quotas set by IT. With single-contact support across the platform, companies can now move faster and become more innovative by focusing on their business, not the underlying platform.

Check out the full study from ESG now.

Recap – Strata+Hadoop World 2017 San Jose

Erin K. Banks

Portfolio Marketing Director at Dell EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data and Data Analytics at Dell EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @banksek

I love the Strata + Hadoop World Conference (renamed Strata Data Conference) and once again the 2017 conference did not fail me in anyway. I wanted to take this opportunity to give you a quick recap since I had the privilege of attending.

I love how the keynotes are short and impactful. Wednesday delivered great insight from a conversation with Beau Cronin and Phil Keslin, CTO and Founder of Niantic. Another great session was from Rajiv Maheswaran from Second Spectrum. Niantic created Pokeman Go and some of the great insight that Phil brought was how they started with a strong architecture that they knew would scale. Pokemon GOThey had no idea that it would need to scale so fast or so soon. Although there were sleepless nights, they were prepared and able to solve both the compute and big data problems they encountered immediately. Rajiv’s topic was “When machines understand sports” and it was great to see how they were able to track the movement of the ball and players and how they could transform the data into facts about players, strategies and probabilities as well as changing the overall game. We watch a great deal of basketball, especially now with the NCAA Men and Women’s Championships going on, and to see data analytics applied to the game like never before is really cool. Is there anything that data analytics can’t impact?

hurricaneOn Thursday we got to see many of the good things that data analytics can help to achieve. For instance, Desiree Matel-Anderson from the Field Innovation Team talked about “Data in disasters: Saving lives and innovating in real time”. Desiree talked about hurricane Sandy and the Boston Marathon bombing as well as other recent events. She talked about how we can use social media and data analytics to determine the impact of the event and how they make it easier to better follow or respond to events in the future. For instance, looking at social media, they saw that people were tweeting for “help” after Sandy hit the coast, electricity was gone and the hurricane had subsided. There was no panic occurring during the storm hitting the land. These facts can help agencies like FEMA in future hurricanes help people feel more connected and can respond to them faster and with this historical data. Another great session was Maya Shankar who worked for the White House Office of Science and Technology Policy under President Barack Obama. She spoke about “Improving Public Policy with Behavioral Insights” and provided us with four conclusions as to the how those insights can guide next steps…

 

1) convert interest into impact

2) quantify impact

(3) celebrate small-wins

(4) generate organic buy-in

These conclusions are based on many years of work and delivered as proof to Washington DC insiders that “data tells you what people are doing” and “behavioral science tells you why.”

The rest of the day was filled with expo time and some great technical sessions. The majority of the topics for the conference focused on real-time machine learning and Artificial Intelligence (AI). In one presentation, Rob Craft from Google explained machine learning best… he said, machine learning is “one branch of the field of AI”, “a way of solving problems without explicitly codifying the solution”, and, last but not least, “a way of building systems that improve themselves over time.” Machine learning and AI are clearly the future with regard to data analytics and a great reason why they changed the name of the conference to Strata Data Conference. Don’t get me wrong… Apache Hadoop, Spark, Impala, Flink, Kafka, Beam, Apex, Kudo, etc are still being talked about. Data analytics means a lot of things to people and it varies in multiple aspects, but one thing that remains the same is the fact that data analytics drives change and impact. Whether it is changing our nation’s policies or making better video games, we were all at Strata + Hadoop World to learn more and use that information to make a difference. That’s why I love Strata + Hadoop World. So much to learn, so many people to learn from, and realizing that for once, our jobs are making an impact and what is better than that?

Getting started on your data analytics journey

Jean Marie Martini

Jean Marie Martini

Director, Data Analytics Portfolio Messaging and Strategy at Dell EMC
Jean Marie Martini is a Senior Consultant for messaging and strategy across the data analytics portfolio at Dell EMC. Martini has been involved in data analytics for over ten years and today focuses on communicating the value of the Dell EMC solutions to enable customers to begin their data analytics journey, to remain competitive throughout their journey, and to drive the insights that will transform their organizations into data-driven businesses. You can follow Martini on Twitter @martinij.
Jean Marie Martini

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The data analytics journey begins with an understanding of use cases and solutions that can help an organization unlock the value of its data. This is the focus of two new Dell EMC resources.

In the course of my work with the Dell EMC data analytics program, I often talk with customers who are focused on extracting value from enormous amounts of data. That was certainly the case at the recent Strata + Hadoop World conference in San Jose. The conference center was filled with people looking for innovative ways to unlock the business value that is embedded in the data they capture from the Internet of Things, social media, their corporate systems and countless diverse sources.

While each organization comes at the problem from different industries, everyone shares the goal of using data analytics to gain business insights and capitalize on the digital transformation that is under way. People understand that their enterprise data warehouses and data lakes hold the keys to achieving closer customer relationships, operational efficiencies and competitive advantages. The question then becomes, “How do you get there?”

This topic is explored in two new Dell EMC resources for organizations looking to capitalize on data for analytics. One of these assets is a white paper that explores how companies in different industries are turning to data analytics, data lakes, and the Apache™ Hadoop® platform for data collection, management and analysis.

In this paper, titled “Leveraging Data Analytics to Gain Competitive Advantage in Your Industry,” we highlight examples of diverse industry-specific and cross-industry uses cases for data analytics solutions. These use cases are based on the collective experiences of Dell EMC and our partners Intel, Cloudera, and Hortonworks.

The second asset is a brochure that drills down into solutions for organizations that are ready to begin their data analytics journeys. This brochure, titled “Power New Possibilities: Solutions for Your Data Analytics Journey,” explains the capabilities and benefits of the Dell EMC options for organizations on this path.

As for those options, Dell EMC has your needs covered no matter where you are in your data analytics journey. These offerings, summarized in the brochure, include solutions for getting started with Hadoop, building a data lake for analytics, extending your analytics capabilities, and enabling and accelerating your journey.

Regardless of the path you’re on, Dell EMC can help your organization move forward with confidence. We can help you gain hands-on experience across many solutions, from initial briefings through a proof of concept and into a full production environment that leverages validated solutions and proven reference architectures.

We can also help you with the essential initial steps of aligning the goals of IT and the business to address a use case that will deliver measureable business value. For example, you might choose a marketing analytics solution that uses predictive modeling to help your sales team target the right customer at the right time. That’s a use case that we’ve put into action at Dell EMC. (Read the case study.)

While different organizations will target different needs, the key is to begin with a use case that will showcase the power of data analytics and generate measurable results — the return on information. From that starting point, you can grow over time into an organization that is truly data-driven and poised for success in the digital economy.

For a closer look at the ways that Dell EMC can help your organization unlock the value of your data, visit DellEMC.com/BigData.

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