Data Management & Analytics

  • Vaccines: Data’s Fight Against COVID-19

    vaccine-research-dataI’ve talked through a couple ways that data is helping fight COVID-19, from detecting and tracking an outbreak, to detecting within people. In this blog, I’ll be focused on research and elimination. While the world sets its sights on a hopeful slowdown similar to what is experienced with a seasonal flu, a true vaccination or cure is the ultimate goal. With more and more researchers throwing their collective hats in the ring, data sharing and collaboration is becoming key. What new information is available on the virus makeup? How is it evolving/mutating? Where are we making progress on vaccination development? What approaches have a higher likelihood of success? How can progress be shared across the globe to spur new ideas or rapid insight? All of these questions tie back to data, and using data science and AI to help answer them is rapidly becoming a go-to approach.

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  • Robotic Process Automation Adoption Trends

    As organizations look for ways to streamline operations, improve efficiency, and reduce costs, they are increasingly embracing automation technology like robotic process automation (RPA). While some view RPA as an ultimate destination to achieve peak business and process efficiency, those organizations that view themselves as digitally transformed have already embraced it and have their eyes set on the next phase: intelligent automation, where RPA is paired with artificial intelligence (AI) and machine learning (ML) to not only interact with systems but also to predict future insights/outcomes based on trending data.


    For more information or to discuss these findings with an analyst, please contact us.
  • Detection: Data’s Fight Against COVID-19

    computer-imagingMy first blog in this series focused on using data, AI, and visualization to help detect and track the continued outbreak of COVID-19. The next topic in this blog series is focused on a different form of detection: detecting the virus in people. And it starts with understanding symptoms and ends with techniques to identify infected individuals at scale, which eventually helps shape individual treatment plans and resource allocation based on established virus hotspots.

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  • Data Protection Conversation with Veritas (Video)

    In this latest edition of Data Protection Conversations, I talk with Doug Matthews from Veritas.

  • Outbreak: Data’s Fight Against COVID-19

    covid-19-dataWhile the world continues its fight against COVID-19, data is becoming one of the most prominent weapons for humans. Whether tracking an outbreak, detecting the virus on a case by case basis, preventing further spread, or eventually eliminating the virus altogether, data is fueling decision making from governing bodies to personal households. As we evolve to deal with the difficult norms of what today brings, the technology community is rising to answer a desperate call to arms. The value of trusted data has never been higher as actions are being taken based purely on statistical models and predictions. The need for collaboration on a global scale is paramount. Being able to rapidly respond to new information is now a matter of life or death. Over the next few weeks I’ll be revisiting and highlighting some of the ways data is being used in the ongoing fight against this historical and scary virus.

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  • Veeam’s Cloud Program Celebrates 10 Years

    cloud-infrastructureVeeam’s maniacal focus on channel has paid off handsomely through the years. What is even more remarkable is how much has changed in what used to be a very traditional 2-tier distribution channel with VARS and integrators in the same 10-year timeframe. The ability of Veeam to help partners evolve to successfully adopt and make money with cloud technologies while avoiding disintermediation has been key in my opinion. 

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  • The Advantages of a Data Science Team

    Enterprise Strategy Group research shows that using a formal data science team is tied to better business outcomes.

    Use this infographic to understand what that means for IT organizations in terms of total data use, the public cloud, serverless analytics, and more.


    For more information or to discuss these findings with an analyst, please contact us.
  • Covid-19 Will Change Backup and Recovery – Part 1

    GettyImages-1210228646There hasn’t been a conversation in the past 3 weeks in which a particular non-cyber (for once) virus hasn’t been discussed. Many of our clients are asking us what we believe will change from a product/service/solution strategy in the space of backup and recovery. I don’t have a crystal ball but based on recent research, and as the year progresses, I expect that we will be able to better understand what might be significant changes in how organizations approach IT and the topic of backup and recovery, including disaster recovery. 

    In the meantime, I would like to share what I expect will happen based on past trends, pre-Covid-19, and my broad perspective on the market. I will not name specific vendors–this is not about who’s better than the other at this or that…Look at this at a high level revisited checklist of what to look for in a solution. 

    Before we start: I believe a lot of the changes that we will see were already in motion; what we will likely see is an acceleration of underlying trends or needs.   

    What will not change

    Good data stewardship is not going away – probably ever – and this means that all the best practices for defining service levels (RPO/RTO) still apply. How you get there is likely to change, but business and IT fundamentals in this case remain the same. Data is an asset that must be protected, business must continue in the face of planned and unplanned interruptions, and compliance requirements must be met. Data growth is not slowing down, meaning that organizations will need to keep planning accordingly, and archive a growing volume of data.  

    This means that organizations will still need to look for solutions that meet all their SLA requirements and can accompany their data growth, or perform at scale, or fit in the environment with the proper set of integrations (hardware and hypervisor integration, for example).

    What will change – or is changing already – Part 1 of many…

    Management capabilities: It’s the pretty obvious one with staff now working remotely from home or having limited options to be in an office or data center. The winners of this phase will be solutions (whether on-prem, hybrid, or in the cloud) that reliably deliver advanced remote and secure management and deployment capabilities. For example, adding endpoint backup and recovery, or protecting new VMs created for the specific circumstances brought about by this crisis. Usability will be key against a backdrop of skills shortages (which began long before Covid-19) in data protection and adjacent IT areas (including cybersecurity). Further abilities are listed below. In addition, organizations that have coherent, broad, and deep reporting and alerting capabilities will be in great shape. However, I suspect this is a hurdle in many organizations.

    DR Testing, and testing in general: It’s a best practice everyone should be an expert at, and most solutions today offer many possibilities to conduct non-disruptive (to production) testing, often supplemented by AI/ML and automation in general. Our research shows that the more people practice recovery the more satisfied they are with their solution. Great news for vendors who have put forward testing education programs. Based on our experience and validation of many solutions in the market, I would say there is no question that great solutions exist and can be leveraged. Not every solution is born equal, but overall they’re pretty good. So if the technology is available and in place, the real question revolves around practice and skill sets. It’s a combination of process and people. In a pandemic you may not have the experts available to do it. It is therefore key that more IT generalists be trained (which ties back to the usability requirement mentioned above). This positions certain cloud-based solutions/services in a pretty good spot.

    I will stop for now, but stay tuned as I continue in my next blog….

  • The Advantages of a Data Science Team

    As organizations look to prioritize data-driven initiatives, the success of those initiatives will be directly tied to people, processes, and technology. While data science may seem aspirational or even foreign to some organizations, ESG research shows direct ties between organizations with a data science team and better use of data, better use of technology, and better business outcomes. For those organizations looking to drive greater business value through the use of data, a formal data science team can help.

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  • The SaaS Data Protection Disconnect

    The broad adoption of cloud services as a source of and repository for business-critical data is placing the onus on data owners to deliver on data protection SLAs for data and applications that are hosted in the cloud. Concurrently, on-premises backup and disaster recovery workloads are leveraging cloud destinations, resulting in hybrid data protection topologies with varying service levels, end-user tradeoffs, and opportunities. How are IT organizations utilizing cloud services as part of their data protection strategy today?

    In order to get more insight into these trends, ESG surveyed 370 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization, specifically around those data protection and production technologies that may leverage cloud services as part of the solution.

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  • Archiving On-premises Economics

    GettyImages-95769788ESG recently completed a very interesting Economic Validation report for a very interesting solution from iTernity. I normally don’t blog about all the reports we do but this one got my attention.   

    Our recent research on IT challenges and spending intentions for 2020 highlights that data growth, costs, skills shortages and operational efficiency are top challenges. Organizations need  solutions that allow them to retain data for compliance (sometimes for years). It’s a perfect storm: more data growth every year, the need to retain it for extended periods of time, and tighter budgets (I never hear of an unlimited IT budget!). Here’s the thing, while cloud is a great destination, archives that don’t necessarily have to reside in a public cloud can be cost-effective and operationally efficient.  

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  • Do you know what data you have? Titus can help

    dataAchieving compliance and meeting the newest data privacy requirements is pretty much like trying to hit a moving target. In the dark. At high speed. 

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