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    • Integration as Managed Services: Turning Resource Scarcity into Abundance
      Integration as Managed Services: Turning Resource Scarcity into Abundance Peter Rodenhauser Recorded: Mar 8 2016 6:30 pm UTC 46 mins
    • Presented by Peter Rodenhauser, Liaison Technologies VP of Enterprise Services

      In today's fast-changing data climate, reliance on IT is growing. But for many businesses, so too is the scarcity of resources needed to support their increasingly complex IT environments. The result is that every chosen IT endeavor comes at the cost of another.

      One endeavor with a particularly steep tradeoff is integration. The data transfer and transformation processes that are the foundation of integration require considerable IT overhead to develop and maintain. And while these operations are critical to your organization's well being, they provide no strategic business value in and of themselves.

      But organizations don't have to choose between cutting-edge integration and their next big innovations. In this webinar, you'll discover how partnering with a managed services integration provider relieves the pressure of resource scarcity and provides an abundance of other benefits to boot, including:

      •Breathing room to focus on strategic activities—not tactical execution
      •Predictable costs that scale with usage—and reflect the economies of scale afforded by the cloud
      •Minimization of risk due to provider's proven ability to execute
      •Effective management of multi-endpoint integration partners
      •The breakdown of data silos to enable data management and Big Data capabilities

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    • Analytics Architectures for the Era of Abundance
      Analytics Architectures for the Era of Abundance Gary Spakes, Senior Systems Engineer Manager, SAS Recorded: Apr 10 2015 8:10 pm UTC 28 mins
    • Opportunities and risks abound for IT organizations. At each digital step, the diverse data that organizations need to manage and analyze continues to grow.

      Is IT ready for the “Era of Abundance”? Or is it constantly stuck in the vicious cycle of the “Era of Scarcity”?

      Hosted by Gary Spakes of SAS, this on-demand webinar will prescribe an optimal set of information architecture options involving Hadoop for data management, data discovery and analytics.

      You’ll learn how to:

      • Embrace analytics by looking beyond technology and existing organizational mindsets.
      • Modernize your analytics architecture to integrate with what you have.
      • Meet current and future needs around different types of users, workloads and scalability.
      • Make the most intelligent decisions when building a big data architecture.

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    • The Modern Sales Metrics That Matter
      The Modern Sales Metrics That Matter Bob Marsh, LevelEleven CEO & Chris Badger, ClearSlide Sr. Director of Partner Alliances Recorded: May 24 2017 6:00 pm UTC 45 mins
    • Sales teams today are capturing more data than ever. The multitude of sales technologies leave teams swimming in data and attempting to measure everything - then lacking a clear idea of what to do with all of it.

      In fact, research shows that 83% of the metrics being used by sales leaders are unmanageable*, leaving managers at a disadvantage, even among this abundance of data.

      Sales leaders need to get back to the basics. Are your reps spending time with their buyers, and can you measure it?

      In this webinar, you will learn the modern sales metrics that will arm you with impactful coaching opportunities. Join LevelEleven CEO Bob Marsh and ClearSlide Sr. Director of Partner Alliances Chris Badger as they dig into the KPIs that matter, and how to drive the data that supports these findings.

      Register now to join the live session. Can’t attend? Fill out the form and we’ll send you the recording.

      *Research from Vantage Point Performance, 2014

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    • From Data to ITSM Metrics That Matter w/ Pink Elephant
      From Data to ITSM Metrics That Matter w/ Pink Elephant "Troy DuMoulin" Recorded: Feb 10 2017 12:45 am UTC 54 mins
    • Learn how to move beyond theory and instead map out process performance to help you achieve meaningful goals.

      Every IT organization accumulates an abundance of data — overwhelming analysts with a constant flood of numbers. However, many teams are challenged to translate that data into tangible value that aligns with business goals. The right framework of metrics, KPIs, and analyses will enable organizations to unlock insights trapped inside their data. Join Pink Elephant’s VP of Research & Development, Troy DuMoulin, and Numerify’s Director of Product Marketing, Mark Gabbard, for this thought leadership webinar.

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    • How to Cut Down Enterprise Conferencing Chaos
      How to Cut Down Enterprise Conferencing Chaos Robert Maloney, Product Manager, Lifesize Recorded: Nov 16 2016 4:00 pm UTC 41 mins
    • We recently teamed up with Spiceworks to survey the IT community and gain a little insight into what was working and what was painfully broken with their current collaboration conglomerations. What we discovered was a hectic mess of UNinteroperability, costly feature overlap and an abundance of rogue IT implementations

      Join us Wednesday, November 16, at 10 a.m. CDT for a Lifesize worldwide webinar that will deep dive into how to eliminate the noise, get more efficient and stay connected with a scattered workforce using the right collaboration and conferencing technology.

      Robert Maloney, Product Manager, Lifesize
      Mitch Holt, Demand Generation Manager, Lifesize

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    • Harnessing 2017’s biggest database trends
      Harnessing 2017’s biggest database trends Matt Aslett, 451 Research Director for Data Platforms & Analytics; Mike Kelly Blue Medora & GM SelectStar platform Recorded: Dec 9 2016 7:00 pm UTC 57 mins
    • Recent years have seen an explosion in the number of different platforms and approaches used to store, process and analyze data in multiple formats from multiple sources. An abundance of data platforms (relational and non-relational databases, NoSQL, NewSQL, Hadoop, database as a service, etc.) has created a complex data management landscape that relies on the integration of multiple interdependent platforms and analysis tools. This trend is expected to continue in 2017. This webinar will preview how the database market is expected to change and what database professionals can do to use these changes to their advantage.

      In this session you’ll:

      - Learn what’s driving increasing adoption trends in specific data platforms like NoSQL and Hadoop
      - See how cloud-based data platforms are being used—and who is using them
      - Discover the implications of IoT for data platforms
      - See a demo of a new database management platform designed to address these changes

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    • Data Stack Considerations - Build vs Buy at Tout
      Data Stack Considerations - Build vs Buy at Tout Ming Liu, David Banker, Jad DeFanti from Tout, Erin Franz from Looker, and John Hammink from Treasure Data Recorded: Jan 12 2017 5:10 pm UTC 44 mins
    • Build vs buy - It’s a common dilemma in a world of seemingly endless engineering talent and an abundance of SaaS products. Many companies start by building but quickly realize that maintenance costs and engineering hours can quickly cause budgets and project-time lines to spiral out of control.

      Tout, a video app platform that allows users to upload content directly to their sites, found themselves facing this exact dilemma after building their own analytics infrastructure and using it in conjunction with a BI tool. After three years of heavy growth and feature expansion, their analytics stack could no longer keep up with the demands and costs were through the roof.

      Tout decided it was time to invest in a new solution and turned to Treasure Data for their analytical infrastructure and Looker for Analytics and is now reaping the rewards.

      What will you learn?

      - The pitfalls of building (and maintaining) in-house solutions
      - How Treasure Data simplifies data pipelines for effective data lifecycle management
      - How Looker let Tout give every employee access to the data they needed when they needed it
      - Actionable criteria for deciding when to buy vs. build analytics infrastructure

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