Browse communities
Browse communities
Presenting a webinar?

Big Data: Power to the User

Karen Hsu, Sr. Director Product Marketing, Datameer
What is the value of big data? How does a user get that value?

Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.

In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
Apr 9 2014
44 mins
Big Data: Power to the User
More from this community:

Business Intelligence and Analytics

  • Live and recorded (1593)
  • Upcoming (38)
  • Date
  • Rating
  • Views
  • This is the second in a series of webinars describing the Information Management disciplines as defined within the DAMA DMBoK.
    Webinar #2 looks at the Information Management discipline “Master & Reference Data Management”.
    Topics addressed include:
    •What Master Data and Master Data Management
    •The difference between Master and Reference Data & why it matters.
    •Different types of MDM Architectures ranging from a full central hub, through hybrid to virtualised
    •Why identifying the correct architecture for your types of Master Data is important.
    •A MDM reference architecture, the typical components in the reference architecture and how to identify & select the right tooling for your environment and MD business needs.
    •Single domain and Multi domain MDM solutions, the advantages & disadvantages and how to determine what's appropriate for you.
    •Issues encountered when building the case for MDM.
  • Apache Ambari is the only 100% open source management and provisioning tool for Apache Hadoop. Recent innovations of Apache Ambari have focused on opening Apache Ambari into a pluggable management platform that can automate cluster provisioning, deploy 3rd party software and provide custom operational and developers views to the end user. In this session we will cover 3 key integration points of Apache Ambari including Stacks, Views and Blueprints and deliver working examples of each.
  • Everything your enterprise does, from marketing, supply chain, it operations, human resources, security and compliance and finance, is impacted by data. If you can instantly connect and analyze the multiple data floods from inside and outside your organization, you can transform your business models. Learn how to see the big picture in Big Data by exploiting 100% of relevant information – human information, machine data and business data.
  • By using an Issue--Solution--Impact diagram, three Tableau power analysts from Deloitte's analytics team will discuss actual problems organisations have faced and will share practical techniques for interpreting and communicating tonnes of heavy data into digestible content and visuals. Be ready for some amazing tips to take your dashboards to the next level!

    This presentation aims to answer the following:

    -How can data visualization and agile analytics be used to turn a mess of data into a clear, visual masterpiece?
    -Where is the organisation spending too much money, and what can you do about it?
    -Where is the business performing well, not well, and why?
    -How can you automate many of the reporting processes to make everything simpler and quicker?
  • With Microsoft Lync - soon to be Skype for Business - predicted to become a top-three global telephony provider by 2016 (Gartner), it is no surprise many organizations are either deploying, or evaluating a deployment, of Skype for Business. But how do you measure the success of such an initiative?

    In this exclusive presentation Eric Bauer, Global Product Director UC, will be joined by John Hand, a former Microsoft employee of 25+ years who is now IR’s Global Microsoft Alliance Director, to detail the 4 Measures for Success in a Lync/Skype for Business deployment.

    Following the presentation there will be an opportunity for Q&A.
  • During this webinar, Elena Martínez, Retail Specialist at Openbravo, will explain the keys to how to effectively create loyalty and what to expect from your commerce solution. Today, engaging customers goes beyond traditional loyalty programs and she will develop on this topic.

    What Will You Learn?
    - Keys to effectively create a loyalty program.
    - What to expect from commerce solutions in regards to loyalty management.

    Who Should Attend?
    - Business Areas Directors
    - CIOs
    - IT Administrators
    - Consultants
  • Whether you are an insurer, reinsurer, broker or insurance service provider; everything you do is based on analytics. From underwriting to claims to agency and marketing, the smartest and most streamlined insurance business operations are driven by advanced and intelligent analytics.

    But is your data ready? Are you an "Analytics Ready" insurer? Great analytics starts with great data management. In this webinar, watch as industry experts from Informatica and Hortonworks share industry trends and best practices to show you can become an "Analytics Ready" insurer.
  • Speakers:

    Steven Hill: Senior Analyst for Business Technology and Solutions at Current Analysis
    Sky Sharma: CIO at US Air Force
    Sam Eaton: Director of Engineering Operations at Yelp

    Abstract:

    Got cloud? If you’re an SMB, you’ve already been there, done that. But are you really extracting maximum value out of your cloud hosted solutions?

    SMBs use an average of five hosted services, between IaaS, hosted email and collaboration and business applications – and that number is expected to climb to almost ten cloud services by next year. Everyone’s dabbling, but SMBs crave the cloud sophistication of their enterprise-grade competitors.

    - How are enterprises pivoting so quickly to respond to operational goals and drive bottom line results?
    - How can SMBs use cloud functions to serve an ever-impatient customer base?
    - Can SMBs realize the kind of growth and innovation through cloud services that enterprises expect?
    - And more importantly, how do SMB CIOs get their hands on all of those pretty, shiny enterprise toys?

    We’ll answer those questions and more with this expert panel of enterprise leaders who will share their strategies for success that SMBs can copy by using cloud services.
  • Speakers:

    Steven Hill: Senior Analyst for Business Technology and Solutions at Current Analysis
    Sky Sharma: CIO at US Air Force
    Sam Eaton: Director of Engineering Operations at Yelp

    Abstract:

    Got cloud? If you’re an SMB, you’ve already been there, done that. But are you really extracting maximum value out of your cloud hosted solutions?

    SMBs use an average of five hosted services, between IaaS, hosted email and collaboration and business applications – and that number is expected to climb to almost ten cloud services by next year. Everyone’s dabbling, but SMBs crave the cloud sophistication of their enterprise-grade competitors.

    - How are enterprises pivoting so quickly to respond to operational goals and drive bottom line results?
    - How can SMBs use cloud functions to serve an ever-impatient customer base?
    - Can SMBs realize the kind of growth and innovation through cloud services that enterprises expect?
    - And more importantly, how do SMB CIOs get their hands on all of those pretty, shiny enterprise toys?

    We’ll answer those questions and more with this expert panel of enterprise leaders who will share their strategies for success that SMBs can copy by using cloud services.
  • Lync 2013 (soon to be Skype for Business) is commonly known as an instant messaging client that includes voice and video capabilities within the enterprise. However, its ability to cross enterprise network boundaries and reach colleagues, partners, and customers across the globe via mobile phones or traditional telephony systems is often overlooked. The natural progression in collaboration may start with a quick instant messaging conversation but often leads to picking up the phone and calling someone to attain resolution.

    Join us on Wednesday, March 25th at 2pm EST to learn about the capabilities of Lync Enterprise Voice, ways to implement it as a cost savings to your business, the impact of the launch of Skype for business and how the progression of enterprise voice collaborative tools are changing the way we run our businesses today.

    Key Takeaways:
    •What is Lync Enterprise Voice
    •How can Lync Enterprise Voice be implemented
    •Is Skype for Business different than Lync Enterprise Voice
  • Channel
  • Channel profile
  • Identifying New Revenue Streams with Big Data: Driving New Product Innovation Recorded: Jan 14 2015 47 mins
    Azita Martin, CMO and Matt Schumpert, Director of Product Management, Datameer
    Big data enables you to quickly generate totally new insights based on an analysis of all of your structured and unstructured data.

    Analyzing all your data as a single data set regardless of data type can uncover patterns and behaviors that would be impossible to get from traditional business intelligence. Today, companies are using these insights to create innovative products and services that generate new revenue streams.

    In this webcast, you will learn:

    -How to use big data analytics to create and operationalize products and services
    -How to use big data analytics to monetize these new products and services
    -Use cases of companies driving new product innovation and revenue using big data

    It’s time to take big data seriously. Register now to learn more about how you can generate innovative product and services that drive new and immediate revenue streams for your company.
  • How to Avoid Pitfalls in Big Data Recorded: Dec 4 2014 59 mins
    Matt Schumpert, Director of Product Management, Datameer and Dale Kim, Director of Product Marketing, MapR Technologies
    Big data analytics is revolutionizing the way businesses are collecting, storing and more importantly analyzing data. However, the adoption of a big data analytics solution has its share of failures and false starts.

    Watch this webinar to learn how to navigate the most common obstacles of big data analytics.

    Datameer and MapR have worked with customers to identify and solve the common pitfalls organizations face when deploying Hadoop-based analytics.

    In this webinar, we will show you how to:
    - Find the balance between infrastructure and business use cases
    - Overcome challenges of using multiple tools that address big data analytics
    - Leverage all your resources (data scientists, IT and analysts) most effectively
  • Top 3 Big Data Use Cases In Financial Services Recorded: Nov 18 2014 48 mins
    Wei Wang, Senior Director, Product Marketing and Adam Gugliciello, Big Data BI Solutions Engineer, Datameer
    In financial services, the top big data analytics use cases include customer analytics to understand customer journey using data from all customer interaction channels, predict and avoid customer churn, and fraud and compliance. The financial and corporate benefits of these use cases range from improving customer retention, to hundreds of millions of dollars in incremental revenue and protection of shareholder value.

    In this webinar, learn from big data analytics experts:
    - Top 3 use cases in financial services
    - The importance of applying the appropriate technologies
    - The data driven insights that will give companies a competitive edge
  • The Economics of SQL on Hadoop Recorded: Nov 5 2014 61 mins
    Matt Schumpert, Director of Product Management, Datameer and John Myers, Analyst, EMA
    As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster.

    However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be.

    This webinar featuring EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments.

    Leave this webinar understanding:
    - How SQL negates the inherent benefits of Hadoop
    - Why technological paradigm changes can sometimes be good
    - Use cases when SQL on Hadoop makes sense
  • Big Data & Brews: A VC's View on the Big Data Market Recorded: Oct 20 2014 10 mins
    Stefan Groschupf, CEO and Founder, Datameer and Jake Flomenberg, Partner, Accel Partners
    Join two leaders in Hadoop as they "chalkboard" the Hadoop ecosystem and each of its components.
  • What Can Big Data Analytics Find Out About Your Customers? Recorded: Oct 20 2014 5 mins
    Matt Schumpert, Director of Product Management, Datameer
    Join Matt as he goes over some of the critical functions that big data analytics can optimize at your company.
  • How to Optimize Your Customer Funnel with Big Data Analytics Recorded: Oct 20 2014 3 mins
    Karen Hsu, Senior Director of Product Marketing, Datameer
    Join Karen as she goes over what customer funnel optimization is and how your organization can work to improve it thoroughly.
  • Instant Insights with Visual Data Discovery Recorded: Sep 17 2014 47 mins
    Matt Schumpert, Director of Product Management, Datameer
    With Datameer’s new visual data discovery capabilities, users can now use visual tools at every step of the analytics process, all within one easy to use spreadsheet environment. Because visualizations that help with data profiling and anomaly detection are automatically generated and available throughout the data discovery process, you save valuable time in preparing and cleansing your data. It also dramatically simplifies data preparation tasks like cleansing, filtering, profiling, enrichment and general data wrangling, reducing the workload on your IT staff and the Hadoop environment. Furthermore, visual data mining tools are now available in both full-screen preview and final results modes, without leaving the spreadsheet interface.

    Attend this webinar with Matt Schumpert, Director of Product Management to learn how Datameer’s visual data discovery makes it easy to find the right exploration tool for the data and analytics use case at hand.

    Our customers are seeing big data insights in days not months and are able to:
    - Deliver faster time-to -insight, leading to better decisions, without burdening IT
    - Discover correlations, new attributes and behavioral patterns in your raw data sets, and assess their impact to the organization
    - Choose the right tool for your particular analytics user preference: use “groupby & count” like in SQL, or look at charts showing data distribution
    - Explain outcomes and perform segmentation using the built-in clustering algorithms and decision trees
  • Using Big Data to Understand Your Customer's Buying Journey Recorded: Aug 5 2014 48 mins
    Matt Schumpert, Sr. Director, Solutions Engineering, Datameer; Azita Martin, CMO, Datameer
    Today more than ever the role of the CMOs and digital marketing executives has become data-driven. Marketing executives who leverage data to understand prospect and customer behavior have gained an edge over their peers. Big Data enables you to combine the vast amount of customer behavior data being generated from mobile, web, social media, transaction systems, Ads and turn them into new insights that drive customer acquisition and retention.

    Join Azita Martin, Chief Marketing Officer at Datameer and Matt Schumpert, Sr. Director of Solutions Engineering, as they discuss and showcase how leading edge companies are leveraging big data to:

    ▪Combine customer interaction data to understand customer buying journey
    ▪Understand high-value customer behavior beyond profile segmentation
    ▪Identify the most common path to customer churn
    ▪Perform market basket analysis to help with cross-sell and up-sell
  • Analyzing Unstructured Data in Hadoop Recorded: Jun 18 2014 48 mins
    Matthew Schumpert, Director of Solutions Engineering, Datameer
    Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.

    Analysis of unstructured data can reveal important insights and interrelationships that are difficult or impossible to determine with traditional business intelligence tools and data warehousing infrastructure. Because unstructured data is typically large, dirty and “noisy”, it requires significantly more computing power and pre-processing to be able to extract the signal from the noise, and to find the insights that will ultimately enable businesses to make the most informed decisions possible.

    Together, Hadoop and Datameer address the issues presented by unstructured data processing, and help businesses harness the potential this data, along with traditionally managed structured sources, ensuring the fastest time-to-insight.


    This webinar will showcase and discuss:

    •How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
    •The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
    •How Monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
  • Big Data: Power to the User Recorded: Apr 9 2014 44 mins
    Karen Hsu, Sr. Director Product Marketing, Datameer
    What is the value of big data? How does a user get that value?

    Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.

    In this session, you will learn:
    How analysts get value out of big data
    How to visualize data at every step of analysis
    How analysts can do big data analytics without IT, in one product
  • Customer Case Studies of Self-Service Big Data Analytics Recorded: Feb 19 2014 44 mins
    Karen Hsu, Senior Director of Product Marketing
    In the new world of big data, analysts are challenged to ask questions that were never possible before. Self-service tools empowers business users to rapidly gather, analyze and visualize data from board, diverse data sources. Analyzing these sources provides new answers and new business opportunities for those smart enough to answer the new questions. Free-up your IT staff so they no longer have the need to response to routine report requests. Business users can now rely on the rapid delivery of advanced self-service BI and data visualization capabilities to solve complex problems and capitalize on new opportunities.

    In this session you will learn:
    -Customer examples and return on investment from self-service big data analytics
    -How business analysts can take advantage of Machine Learning
    -Best practices in self-service big data analytics
  • Webcast: Top 3 Things to Consider with Machine Learning on Big Data Recorded: Jan 24 2014 54 mins
    Karen Hsu
    Machine learning is powerful but requires coding and access to all the relevant datasets to get full insights. With new Big Data analytic tools, business users can now use machine learning to gain a competitive edge.

    Based on best practices and customer experiences, join Datameer as we discuss what to look for and what value organizations get out of Machine Learning on Big Data.

    This webinar will provide:

    *an overview of challenges and tools available today
    *use cases for machine learning on hadoop
    *capabilities to look for
    *comparison of available solutions
The only End-to-End Big Data Analytics Application for Hadoop
Datameer is the only end-to-end big data analytics application purpose-built for the Hadoop ecosystem, designed to make big data easy for everyone. Companies of all sizes like British Telecom, Citibank, Trustev and Workday use Datameer to integrate, analyze and visualize all of their data to get new insights faster than ever. Founded in 2009 by Hadoop veterans, Datameer is headquartered in San Francisco, CA and counts Kleiner Perkins Caulfield & Byers, Workday, Citi Ventures, Next World Capital and Software AG among its investors.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Big Data: Power to the User
  • Live at: Apr 9 2014 4:00 pm
  • Presented by: Karen Hsu, Sr. Director Product Marketing, Datameer
  • From:
Your email has been sent.
or close
You must be logged in to email this