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Posts Tagged Analytics

EMA Research: How Automation, AI and Analytics Are Reinventing ITSM Free white papers, case studies, magazines, and eBooks

Download this new research report to see what EMA’s study reveals about the relationship between digital transformation and enabling technologies as they converge in ITSM. Starting with the service desk as a central point of departure, the research takes a look at the state of automation, AI, and predictive analytics and how they are being applied to use cases like incident response, service requests, problem resolution, support cases, and broader levels of enterprise service management (ESM).

You’ll gain insights into:

  • How digital transformation is increasingly blurring the line between IT and the business and, in turn, changing the role of ITSM
  • How ITSM’s ongoing evolution and increasing levels of automation and AI are impacting organizational structures and necessary skillsets
  • What role enterprise service management (ESM) is playing in the adoption of automation and AI
  • Which IT use cases are driving the adoption of automation and AI technologies
  • The real-world (vs perceived) benefits organizations are achieving with automation and AI
  • Common obstacles to automation and AI implementation
  • Emerging adoption patterns for automation and AI to spark your imagination

Download the report today to see how your automation and AI initiatives stack up to EMA’s survey findings, plus get valuable insights to help hone your automation and ITSM strategy

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Free IT – Data Management Magazines and Downloads from vcdynamics.tradepub.com

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Top 10 AI-Driven Analytics Evaluation Criteria Free white papers, case studies, magazines, and eBooks

New technologies are revolutionizing the traditional business intelligence and analytics space. This new era is being driven by technologies such as search, cloud, and most recently, artificial intelligence.

When you make it easy for business people to uncover meaningful insights from their data, a wealth of opportunities awaits.

But, how do you choose the best solution? In this white paper, the ten most important criteria to evaluate search and AI-driven analytics solutions are presented – everything from ease of use, automated insights, to scalability, and cost of ownership.

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Free IT – Data Management Magazines and Downloads from vcdynamics.tradepub.com

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AI-Driven Analytics Whitepaper Free white papers, case studies, magazines, and eBooks

From driverless cars to virtual assistants, AI and machine learning have hit the mainstream. These smart technologies are also poised to make analytics easy and accessible for any business person.

SpotIQ AI-driven analytics automatically uncovers answers to questions business people may not have known to ask. Powered by an analytics platform with massive computing power, it learns what’s most important based on usage behavior, spots hidden trends and patterns in the data, and delivers trusted and personalized insights to any business person.

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Unifying Analytics Across Warehouse, Lake and Into the Cloud Free white papers, case studies, magazines, and eBooks

Join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, David Dichmann from Cloudera. They’ll discuss how you can bring together the data warehouse, big data and AI, across the edge, the corporate data center and into the cloud.

In this 1-hour webinar, you will discover:

  • How it’s possible to do analytics on structured, unstructured, streaming, and machine data, all on an integrated platform
  • How data lake technology can compliment data warehouse platforms
  • How a unified approach gets your analytics into self-service/on-demand mode quickly

Why Attend

We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets.

Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams.

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Top 10 Data and Analytics Technology Trends That Will Change Your Business Free white papers, case studies, magazines, and eBooks

Rigid data architectures are breaking down in large enterprises. In their place, innovative data leaders are implementing new technologies to enable optimized, real-time decision making across their organizations.

This Gartner research, brought to you by business analytics provider Outlier, highlights 10 of these strategic technologies and why you simply can’t afford to ignore them – including:

How automated business analytics will help to highlight essential business changes or insights, and why it’s time to start integrating these tools into your analytics stack
 

Why automated business analysis is the best way to deal with the volume and diversity of data in business today, and how it could free your team up to focus on higher value tasks
 

The two technologies that will boost analytics and business intelligence adoption to more than 50% by 2021, and what this could mean for your organization

Claim your copy today to discover which of these trends has the greatest potential to transform your business, and why now is the time to begin building them into your data strategy.

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Three Insights Marketing Analytics Should Be Providing Your Association or NGO Free white papers, case studies, magazines, and eBooks

With the forces of ingenuity continuing to drive technology into the future and the digital advertising space continuing to evolve, marketing analytics will continue to become more vital to the scalability and overall survival of organizations. Relying solely on more traditional tools of marketing is not cost-effective nor timefriendly and will leave you struggling to keep up. 

As an association or NGO desiring a clearer picture of the overall success of your outreach strategies, you should develop a sophisticated marketing analytics program. Your program should be run by experts that can help validate your work, while proactively utilizing the significant data your outreach efforts create.

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How Clients Want Their Providers to Use Data Analytics? Free white papers, case studies, magazines, and eBooks

Date: Thursday, September 19th, 2019

Time: 2pm ET | 11am PT

Today, organizations have more data at their disposal than ever before. Law departments, law firms and law companies are all sitting on a treasure trove of data that can be used to better assess both the legal problems clients have and the way legal services are provided and priced. Data scientists and legal operations specialists are being hired inside all of these organizations, but there is still a disconnect between what the client is hoping to see from the data and what they are currently getting out of it.

Adopting data analytics tools is a step in the right direction, however, there are still challenges that arise with providing clients with the specific information they want to see.

Join this webcast for expert insight on: 

  • How data is being used in creative ways currently

  • What the hurdles are for further adoption of data analytics

  • What GCs are really hoping to get from the data

  • Who is in the best position to provide that analysis

  • What options are out there that law departments should be taking advantage of that they currently are not

  • How can providers monetize data analytics

REGISTER NOW!

Can’t attend? The on-demand recording will be available for all the registrants.

Speakers:

Gina Passarella |Editor-in-Chief|The American Lawyer

Zach Warren|Editor-in-Chief| Legaltech News

Heather Nevitt|Editor-in-Chief| Corporate Counsel, Inside Counsel and Global Leaders in Law

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Legal Analytics for Consumer Protection Case Strategies Free white papers, case studies, magazines, and eBooks

Date: Wednesday, August 28, 2019

Time: 2pm ET | 11am PT

Sponsored by: Lex Machina

Protect your clients against unfair trade, inaccurate information and unethical business with data-driven strategies, so your legal team can be more competitive and efficient.

Join this webcast to understand how legal analytics can help build a strategy and develop your litigation plan. Gain insights into specific consumer protection claims and learn how to apply current trends to your own litigation strategy. Learn how to leverage legal analytics, including:

  • Gain critical insights into consumer-protection specific damages, and remedies to craft winning settlement strategies.

  • Analyze the performance of attorneys and law firms.

  • Analyze how long it will take to reach key litigation milestones.

  • Anticipate case outcomes, findings, and assess the chances for damages being awarded.

  • Plus much more.

Start leveraging analytics to build your litigation strategy and take your practice to the next level.

REGISTER NOW! (Not able to attend? STILL REGISTER you will receive an email with how to access the recording of the event)

Speakers:

Owen Byrd Chief Evangelist & General Counsel | Lex Machina

Laura HopkinsLegal Data Expert | Lex Machina

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Free Executive & Management Magazines and Downloads from vcdynamics.tradepub.com

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Developing People Analytics Capabilities Free white papers, case studies, magazines, and eBooks

This eBook from Human Capital Institute explores how people analytics can empower your entire organization. Read now.

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Free Human Resources Magazines and Downloads from vcdynamics.tradepub.com

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The Modern Data Warehouse: One Place for All Your Analytics Data Free white papers, case studies, magazines, and eBooks

An analytics environment that caters to high-volume, semi-structured data is one that’s inclusive, allowing for data-driven decision making in the broadest sense. But data repositories that enforce formal measures and dimensions will keep data to a highly-curated standard and make it immediately consumable by BI tools. So, which one’s better? The answer is easy: both.

To learn more, join us for this free 1-hour webinar from GigaOm Research. The Webinar features GigaOm analyst Andrew Brust and special guest, Dan D’Orazio, Solution Architect from Matillion, champions of data transformation for cloud data warehouses.

In this 1-hour webinar, you will discover:

  • In this 1-hour webinar, you will discover:
  • Why high-volume data and master data are better together
  • How the data warehouse is more relevant than ever
  • Unique optimization points for loading semi-structured data and transforming structured data

Why Attend:

This dual approach to analytics data management, and getting it all done in the cloud, are the hallmarks of data warehouse modernization. But what’s the best way to accommodate it? Will ETL tools designed for classic on-premises data warehousing get the job done? What about self-service data prep tools designed for data lakes? Whatever your data management approach, it will need to take structured and semi-structured data into account and help you move that data to – and maintain it in – the cloud.

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Free IT – Storage Magazines and Downloads from vcdynamics.tradepub.com

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