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Posts Tagged Data

Agency Case Study: No More Data Headaches At Mediahub Free white papers, case studies, magazines, and eBooks

A global media planning and buying agency, part of the multinational advertising and marketing company IPG, was trying to find a way to automate data integration and improve client reporting.

Through implementing Adverity, Mediahub managed to optimize the use of internal resources, and reach many benefits for the agency:

  • Reports and dashboards are now fully automated, with reliable data streams, eliminating delays and stress for the data team.
  • Data analysts now use only 10% of their time on data management, and can work on more interesting and valuable projects for clients.
  • The time saved is invested into creating innovative tech solutions for clients, bringing new revenue streams to the agency.

Gain instant access to the Mediahub case study and read all the details on how they managed it all by filling out the form.

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Maximize the Return on Your Data Investment Free white papers, case studies, magazines, and eBooks

Did you know 87% of companies have low BI and analytics maturity?

If you’re not on the fast track to modernizing your data infrastructure and making data rapidly accessible to every business team, you won’t see the full benefit of your data investment.

The right cloud analytics strategy can speed up insights and unlock ROI in record time. But before you can take advantage of this potential, you need to identify the technical, organizational, and cultural obstacles ahead of you.

Fortunately, Snowflake and Sigma have worked with hundreds of customers like you to overcome these obstacles, developing a complimentary cloud data platform and analytics solution that addresses them head on.

In this eBook, we’ll show you how your company can:

  • Create a single source of governed data in a cloud data warehouse
  • Generate real-time business insights at scale 10-100X faster—without increasing cost
  • Grant analytics access to any team in your organization while staying secure 
  • Start building a more data-driven culture from within

Download the free ebook today.

Sigma is the only no-code business intelligence and analytics solution built for your cloud data warehouse. Empower everyone to explore data — yes, everyone!

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

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Survey Report: The Data Language Barrier Free white papers, case studies, magazines, and eBooks

Insight-driven companies are growing 8x faster than global GDP. But surfacing these transformational insights requires the collaboration and cooperation of two very different groups of people: those with data expertise and those with business domain expertise.  

We surveyed 801 data experts and 800 line of business employees to learn more about the ways growing organizational pressure to be data driven is impacting these two groups. 

In addition to uncovering mutual frustrations due to a growing data language barrier, this report explores the desire to collaborate on both sides, as well as sheds light on how businesses can improve overall performance by better supporting these teams.

Key statistics include:

  • 39% of business domain experts admit they’re “not totally sure” what it means to be data-driven in their organization.
  • Three-quarters (76%) of data experts say up to half (49%) of their time is spent preparing ad-hoc reports for business teams. 
  • 1 in 4 business experts have given up on getting an answer they needed because the data analysis took too long.
  • 46% of data experts admit their lack of domain expertise gets in the way of delivering the most accurate or relevant data models and/or reports. 

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Communication Collection Conundrum: Finding New Data Sources Free white papers, case studies, magazines, and eBooks

Date: Tuesday, September 29, 2020

Time: 3pm ET | 12pm PT

 

Sponsored by: Exterro

Companies and firms alike have greatly expanded their usage of different communication and collaboration platforms during the past six months, ranging from email, Microsoft Office 365, Slack, Box and others.

As litigation volumes increase, what ediscovery/litigation processes need to change to effectively collect from these platforms? Are there any foreseeable speed bumps that in-house legal departments should prepare for now?

Join this webcast to learn how to empower your legal team to seamlessly collect data from communication platforms. Key takeaways include:

  • How to create processes to analyze and review data from new collaboration tools that may be relevant to litigation.
  • Understand potential risks of not being able to quickly review and assess data in new communication data sources.
  • What ways technology can streamline these processes.

Speakers:

Tara Jones | Legal Services Manager | Verizon Media

Joe Mulenex | Director of Solutions Consulting | Exterro

Mike Hamilton | Sr. Director, E-Discovery | Exterro

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Data Governance: Striking the Right Balance for Insights, Privacy, and Compliance Free white papers, case studies, magazines, and eBooks

Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Barbara Eckman, Senior Principal Software Architect from Comcast, and CEO Balaji Ganesan from Privacera, to explore policy-based governance.

In this 1-hour webinar, you will learn:

  • Why data platforms’ native access features aren’t enough anymore
  • Why the cloud makes customers feel they have less control, and how to fix it
  • How to automate governance across high-volume and high-velocity data

Why Attend

Want to make your digital transformation a success? Data governance and access control are key to that effort. Even if digital transformation doesn’t motivate you, compliance with GDPR, CCPA – and other regulatory frameworks for data protection – should. But implementing access controls manually, one data source at a time, won’t cut it anymore. Instead, you need a policy- and workflow-based approach that works across different repositories and platforms, in databases and data lakes, both on-premises and across multiple clouds.

It doesn’t end with access controls, though. You’ll need to automate data discovery and classification, so policies affecting sensitive data and other data types can be applied in an automated fashion, too. And as new platforms and users are on-boarded, these discovery and policy mechanisms need to be applied immediately. That way, analysts, data consumers and data engineers – even data scientists working on laptops – will have governed access to the data they need; no more and no less.

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ESG Report: What is Your Data Really Worth? Free white papers, case studies, magazines, and eBooks

Read the report to see how leading organizations bring data to every decision and action, and learn how to begin tapping the full value of your data.
 

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Unified Analytics: Moving Past Data Storage Chauvinism Free white papers, case studies, magazines, and eBooks

Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust, and Paige Roberts, Open Source Relations Manager at Vertica

In this 1-hour webinar, you will discover:

  • Ways to align the interests of analysts, data engineers and data scientists
  • The intersection between unified analytics and hybrid-/multi-cloud
  • Approaches to accommodating complex data types in mainstream analytics
  • How unified analytics drives comprehensive machine learning and AI

Why Attend

Enough is enough. Different data lives in different places for different reasons. Instead of pursuing monolithic storage, the right goal is a unified approach to analytics. Find a platform that can query all your data, integrate and co-exist with other data platforms, and factor in data science, and you’ll be sitting pretty. The storage-centric approach is unproductive, and it’s time to transcend it.

Data lakes, data warehouses, their overlaps, rivalries, and coexistence have been discussed to the point of saturation. And yet industry players still can’t get to a resolution. Instead, everyone wants to win the storage wars. Warehouse vendors are trying to absorb the lake, lake vendors want to obviate the warehouse, and sometimes BI vendors want all the data in their local models. It seems like each platform seeks to be the definitive physical data repository.

 

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The State of Data Science in 2020 Free white papers, case studies, magazines, and eBooks

By helping to drive strategic transformation in these areas, data science practitioners and leaders can help ensure that the discipline achieves its full potential to improve society, consumer experience, and business performance

In this Anaconda report, “2020 State of Data Science,” promoted by RTInsights, you’ll learn about:

  • How data scientists fit into their organizations and what their role, activities, and toolkit look like
  • The most common challenges data scientists face and their biggest concerns
  • Which data science skills are most in-demand
  • Four themes business leaders will focus on in the coming years

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Unified Data Integration: The Whole is Greater than the Sum of its Parts Free white papers, case studies, magazines, and eBooks

Learn how managed service providers help companies harness the full value of that data by making it available to the people who are trying to get the most out of it.

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Data Protection Is Everyone’s Job, so It’s No One’s Job Free white papers, case studies, magazines, and eBooks

Implementing data protection is an ambiguous area of responsibility for too many organizations, and well-meaning truisms like “Security is everybody’s job” do not help the situation.

Long experience in the field across different industries confirms this, whether the businesses in question create software for external customers or only for internal use. Given the lack of clarity about who is ultimately responsible for data protection, it is no wonder that so few organizations empower a specific functional team to effectively address this issue.

The result is that data security and governance too often fall between the cracks, not truly belonging under the CTO, the CIO, business units, or even the CISO or the compliance team. There is an answer to this dilemma: put the responsibility for data protection in the hands of the application owners who create or manage the applications that use the data, and empower them — and the development teams that work with them — accordingly.

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