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Why Data Integration Provides the Critical Foundation for Capturing Actionable Insights

We all know that Big Data is getting bigger. And, the gap between the amount of data with hidden value and the amount of value that is actually extracted keeps widening. In fact, according to IDC, less than 1 percent of the world’s data is currently being analyzed. What good is data if it doesn’t produce actionable insights that generate improved outcomes?

A large portion of the world’s data is produced by the billions of connected objects that make up the Internet of Things (IoT), a critical enabler of the Internet of Everything. In Cisco Consulting Services, we recently conducted a blind global survey to learn more about how organizations are harnessing IoT to transform their businesses — and what they can do to drive more value. Read More »

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IoT: Moving from Connecting Devices to Capturing Insights

There’s a lot at stake—$19 trillion in fact—as companies transform into digital businesses to capture value from the Internet of Everything (IoE). More than 42 percent of this value, or $8 trillion, will come from one of IoE’s chief enablers, the Internet of Things (IoT). While IoE is the networked connection of people, process, data, and things, IoT is the intelligent connectivity of physical devices that is driving massive gains in efficiency, business growth, and quality of life. So why worry about IoT when we have IoE? Simple, IoT often represents the quickest path to IoE and the $19 trillion that’s there for the taking.

Cisco Consulting Services recently conducted a blind global survey to Read More »

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Transparently Offloading Data Warehouse Data to Hadoop using Data Virtualization

More data allows for better and more expansive analysis. And better analysis is a critical success factor for businesses today.

But most data warehouses use the once-in-never-out principle when storing data. So whenever new business activities occur, new data is added without removing old data to make room. New data sources, such as data from social media networks, open data sources, and public web services further expand the warehouse. Unfortunately, all this growth comes at a cost.

Is there a way you can have your cake and eat it too?

With Hadoop and Cisco Big Data Warehouse Expansion, you can.

Disadvantages of More Data

While everyone understands the business advantage that can be derived from analyzing more data, not everyone understands the disadvantages that can occur including:

  • Expensive data storage: Data warehouse costs include hardware costs, management costs, and database server license fees.  These grow in line with scale.
  • Poor query performance: The bigger the database tables, the slower the queries.
  • Poor loading performance: As tables grow, loading new data also slows down.
  • Slow backup/recovery: The larger the database, the longer the backup and restore process.
  • Expensive database administration: Larger databases require more database administration including tuning and optimizing the database server, the tables, the buffer, and so on.

Three Options to Control Costs

The easiest way to control data warehouse costs is to simply remove data, especially the less-frequently used or older data. But then this data can no longer be analyzed.

Another option is to move the lesser-used data to tape. This option provides cost savings, and in an emergency, the data can be reloaded from tape. But analysis has now become EXTREMELY difficult.

The third option is to offload lesser-used data to cheaper online data storage, with Hadoop the obvious choice. This provides a 10x cost savings over traditional databases, while retaining the online access required for analysis.

This is the “have your cake and eat it too” option.

The Fast Path to Transparent Offloading

Cisco provides a packaged solution called Cisco Big Data Warehouse Expansion, which includes the data virtualization software, hardware, and services required to accelerate all the activities involved in offloading data from a data warehouse to Hadoop.

And to help you understand how it works, Rick van der Lans, data virtualization’s leading independent analyst, recently wrote a step-by-step white paper, Transparently Offloading Data Warehouse Data to Hadoop using Data Virtualization, that explains everything you need to do.

Read The White Paper

Download Transparently Offloading Data Warehouse Data to Hadoop using Data Virtualization here.

 

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To learn more about Cisco Data Virtualization, check out our page.

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Enhancing the Customer Experience with Data & Analytics

Last month, I had the honor of presenting at the Internet of Things (IoT) World Forum in Chicago. The event gave me the opportunity to do one of my favorite things, collaborate and network with all of my peers who are doing creative work within the world of IoT. One of my colleagues, Kowsalya Arunprakash, Lead Architect of Virtual Data Integration Services for Time Warner Cable, co-presented and shared a use case in which Time Warner is utilizing Cisco Data Virtualization to enhance its customer experience with analytics. In today’s blog, I’d like to share more details about this use case, because I think it’s a great example of how organizations are leveraging IoT solutions as a way to better serve their customers and separate themselves from their competition.

Time Warner Cable IntelligentHome is a home security and energy management system which TWC IntelligentHomeusers can control from their smartphone, tablet or computer to do things like view live video, arm/disarm their system, turn their home lights on/off or adjust the temperature of their thermostat. As you can imagine, each one of these pieces of equipment creates a fair amount of data through radio-frequency identification (RFID) and sensors. On top of this, as consumers generally do, users are going to social media to share their experience.

Utilizing Cisco Data Virtualization, Time Warner is able to couple this data along with sales, marketing and historical customer data to get a full 360 degree view of operational analytics. By operational, I am TWC IntelligentHome 2referring to intelligence like customer trends, sales analytics and resource allocation management.

This combination is an extremely powerful tool to understand the customer in order to create and adapt products and services that cater to their wants and needs. It’s an opportunity to see how the product is being used, via RFIDs and sensors, coupled with customers’ feedback and experience shared on social media as well as their long-term history of usage and preferences.

During her presentation, Kowsalya shared that by leveraging these insights Time Warner is able to improve sales, reduce customer churn and even work with local law enforcement and emergency services to respond faster to current events. To hear more, I encourage you to watch the video interview of Kowsalya and learn about how Time Warner is using Data Virtualization to derive value for their customers.

 

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To learn more about Cisco Data and Analytics, check out our page.

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New Research Identifies How to Accelerate Data Virtualization Adoption

The challenges of data management are getting exponentially harder. These ever-increasing data quantities, diversity and distribution are revolutionizing data management, opening the door for new solutions such as data virtualization.

Data virtualization fulfills a range of business demands for data, supports high iteration and fast response times, all while saving significant IT costs.

Radiant Advisors is a leading strategic research and advisory firm that helps transform today’s organizations into tomorrow’s data-driven industry leaders.  They recently teamed with Cisco to better understand the barriers experienced by companies considering data virtualization and see how companies that have already adopted data virtualization overcame them.

The Data Virtualization Adoption Dilemma

Data virtualization is an advanced technology with nearly every major research and consulting firm provides architectural blueprints that include a logical business semantic layer.

Yet only some companies have it, leaving data virtualization an often-missed opportunity for business and IT to keep pace with today’s volatile data landscape.

To achieve the benefits of data virtualization, companies need to take the leap.

Unique Research Formula

To better understand data virtualization adoption barriers, Radiant Advisors’ Research Director, Lindy Ryan, interviewed a broad, pre-adopter community to understand their perceptions and concerns.  These top-of-mind issues were then posited to companies that have already adopted data virtualization, who then anonymously shared the insights, best practices, and lessons they learned in overcoming barriers to data virtualization adoption.

The resulting research report, Overcoming Barriers to Data Virtualization Adoption, consolidated these findings into clear counsel intended to guide potential adopters to overcome perceived barriers.

Read The Research

Download Overcoming Barriers to Data Virtualization Adoption here.

 

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To learn more about Cisco Data Virtualization, check out our page.

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