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Cisco Partner Weekly Rewind – June 26, 2015

Partner-Weekly-Rewind-v2

Each week, we’ll highlight the most important Cisco Partner Ecosystem news and stories, as well as point you to important, Cisco-related partner content you may have missed along the way. Here’s what you might have missed this week:

Off the Top

Please join me in welcoming Pamela Erdman to the Partner Blog this week. Pamela kicked off a series of blogs she is planning by dropping by this week to discuss building your big data practice. She walks you through building a Cisco practice that can really grow your business in the big data space.

Be sure to check out her blog and let us know what you think in the comments. Your feedback can help shape what she will cover in the future!

Leverage the NEW Red Hat Campaigns on Partner Marketing Central

There are three new Red Hat Campaigns on Partner Marketing Central.  We have provided you an array of demand generation resources to help you organization take advantage of this great opportunity with your customers.  Utilize these tools to customize your on-line and in-person events

Big Data Solutions | Data Center Modernization |Open Stack on UCS (UCSO) Read More »

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Big Data. Big Opportunity. Real Simple: Practical Steps to Building Your Big Data Practice.

I talk to partners every day about the big data opportunity. We know that partners who sell UCS see dramatically larger deal sizes for big data opportunities.  We know all of this and still there is a lot of caution and skepticism from partners about jumping into this new world of big data and analytics.  I have heard comments from many partners, like:

  • “It’s just hype, another fad”
  • “I will ride this out and wait for the wave to pass and go on with business just like I always have”
  • “I am driving revenue and growing my business, why do I need to worry about this Big Data thing. I am not going to hire a “data scientist”!  I’m not even sure what I would do with one if I hired one!”

There is indeed is a lot of hype about big data and analytics today – it is everywhere. However, it is not a fad, and it is not going away. The world is moving to the Internet of Things (IoT) and the Internet of Everything (IoE), and big data is projected to be the next evolution of IT.

As IoT and IoE gain momentum, enterprises are deploying new data-creating sensor at the far reaches of their networks and billions of new connections are being made.  Cisco anticipates that 50 billion things will be connected by 2020.  Those connections are creating enormous amounts of data.  The ultimate success of IoT and IoE is all about being able to turn that data into insight.  Insights that drive organizational improvements such as delivering products faster, fueling higher productivity or predicting customer demand.  Big data and analytics is all about driving business outcomes from IoT and IoE. Read More »

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Digital Transformation in the Oil & Gas Industry: “Drill, Data, Drill!”

“Drill, baby, drill” makes for an easy mantra when it comes to energy exploration, but the oil and gas (O&G) industry moved past simply drilling long ago with the introduction of digital information processing. For example, integrated production modeling was introduced in the 1970s. With the recent turmoil in the energy industry, the stakes are even higher for O&G companies to work smarter and more efficiently. Forward-looking businesses are making the transition to true digital transformation, which requires the adoption of the Internet of Everything (IoE)—the networked connection of people, process, data, and things—throughout the entire O&G value chain. According to a recent Cisco study, of these four IoE elements, essential “data” is the component most in demand—and the element that needs the most improvement.

Survey respondents identified “data” as the area of IoE they need to improve most to drive insight and value.

Survey respondents identified “data” as the area of IoE they need to improve most to drive insight and value.

However, in many cases it’s not data that’s lacking; O&G firms are awash in data generated by sensors and machines spread throughout their far-flung operations. The struggle comes in capturing real-time operating data closest to the point it’s created, analyzing it in real-time and applying the results to improve functional and business capabilities. To capitalize on the wide range of data IoE generates, O&G firms must overcome three key challenges:

  • Automating the collection of data
  • Integrating data from multiple—and often far-flung—sources
  • Analyzing data to effectively identify actionable insights

Read More »

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Analytics, Separating Facts from Myth

If you ever want to start an argument, simply ask a group of music fans to name the most influential act of the Rock era. Then step back and watch the sparks fly!

As a musician myself, popular music, its origins and evolution have long been a topic of interest and passionate debate among my circle of friends. Everyone has an opinion and even the shyest among us has no problem wading in to this discussion. Sometimes it’s a matter of personal taste, but more often than not I’ve noticed that we tend to argue in favor of the acts we loved in our formative years.

People who came of age in the 1950s identify acts like Elvis Presley, Jerry Lee Lewis and Chuck Berry as innovators. For those who grew up in the 1960s you can expect responses to include The Beatles, The Rolling Stones and The Who. From the 1970s, you’ll hear names like Led Zeppelin, Pink Floyd and Fleetwood Mac, amongst others. And the list goes on and on. Read More »

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Improving Customer Loyalty with Data & Analytics

You don’t win customer loyalty solely by the “wow!” factor. You win simply by delivering on customer promises and resolving everyday issues.

According to research from CEB’s book, The Effortless Experience: Conquering the New Battleground for Customer Loyalty, two major factors affect customer loyalty during an interaction:

  • The first is how much effort is required from the customer to resolve an issue.
  • The second is the skills and efficiency of the customer-service agent.

To positively affect customer loyalty, you need to influence these factors during the interaction, not after it.

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