Your Data Room Checklist

You can’t do an M&A deal without doing due diligence.

And you can’t do due diligence without a virtual data room (VDR).

So, a trusted and powerful platform, with the best technology, security, and service, is essential for completing deals efficiently and successfully.

Do your due diligence on your data room. To make sure your data room is the right one for you.

View Your Data Room Checklist now.

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Datasite Forecaster – H2 2024 Outlook

Good times are ahead for the M&A market, based on sell-side deal flow in H1 2024 compared to the year before. Global deal kickoffs jumped 17%, driven by easing inflation and pent-up demand. The deal surge starts to close this July, assuming a six-to-nine month timeline. What are the key trends to track as we move into the second half of the year?

Learn more in the full report.

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Cut Your Total Cost of Ownership By At Least 68% With inCloud Observability

When assessing the 'build or buy' observability dilemma, there are a number of factors to weigh out. Above all else, it's crucial to consider: ease of use, simplicity of installation, seamless integration with your existing stack, user adoption, and of course - cost of ownership.

The following is a detailed breakdown of all of the factors which impact the total cost of ownership, guiding you to an informed decision of whether to invest in a homegrown solution, or which existing solution to opt for off the shelf.

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Monitor Everything You Run in The Cloud, With Zero Compromises

groundcover is the only observability platform that merges an inCloud architecture with the powers of eBPF. This unique combination makes it possible to gain granular visibility over all your cloud environments.

groundcover redefines application performance monitoring by completely disassociating data volumes from observability costs with a zero instrumentation deployment.

Main values:

  • No instrumentation
  • No need to stream data externally
  • End-to-end visibility
  • Near-zero CPU & memory impact

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onPrem and airGapped

groundcover’s proprietary eBPF sensor and unique inCloud infrastructure enable all of your observability data (logs, metrics, traces, etc.) to remain in your environment at all times.

This makes groundcover the only solution that directly tackles two of today’s most critical organizational concerns:

  1. Observability costs

    By removing the need to send and store your observability data outside of your cloud premises, groundcover completely decouples costs from data volume, reducing the total cost of ownership for observability by over 86%.

  2. Security and privacy

    groundcover’s standard inCloud offering creates a standard of unprecedented security, keeping all of your data in cloud premises, allowing for maximum adherence to organizational security policies with a unique setup for a complete offline installation.

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ELN Selection Template

Download NEUWAY Pharma’s guide for selecting the best electronic lab notebook software for their needs and adapt it to suit your own.

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Rethinking the Role of ELNs – Are we making things worse?

In this talk, Brendan McCorkle, CEO of SciNote, explored the role of ELNs in data management, and asked the question - are we making things worse?

What is SciNote? We are a lab digitalization company with the mission to help humanity benefit the most from science and to preserve research data for future generations. Our electronic lab notebook (ELN) helps labs manage experiments, data, and teams, allows inventory tracking, and supports 21 CFR Part 11 and GLP compliance. It is the chosen solution by researchers at the FDA, USDA, and 100+K researchers in over 100 countries.

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Functionalities Overview SciNote for Industry Labs

Download this document to learn more about team onboarding, data structure, efficient inventory tracking and management, streamlined protocol and SOP management, seamless team collaboration, compliance with CFR 21 Part 11 and GxP regulations, versatile integrations, and API access.

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Staying Ahead of the Shuffle: 5 Keys to Lab Inventory Tracking in Ever-Changing Environments

Have you ever encountered the frustration of being unable to replicate an experiment due to the lack of traceability in your inventory items? Or perhaps faced the challenge of maintaining data continuity when students or staff members depart, taking crucial inventory information with them? These scenarios are all too common, underscoring the vital importance of inventory tracking and traceability in research.

Join us in our webinar, as we discuss 5 crucial inventory management strategies that can directly prevent the loss of vital experimental information, ensuring your research endeavors remain on track. Plus, discover the impact of integrating an Electronic Lab Notebook (ELN) with your inventory management system through real-world use cases. See firsthand how this integration, or utilizing an ELN with an embedded inventory management system, can bridge the gaps, keeping your research data accessible, comprehensible, and fully traceable—even years after conducting the experiment.

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Unleashing the Power of AI in Biotech: 5 Actionable Insights from Ganymede, Snthesis, and SciNote

The digital transformation of the field of biotech R&D is accelerating, driven by the integration of artificial intelligence (AI) and machine learning (ML). These technologies are reshaping the way biotech companies approach, analyze, and interpret vast amounts of data, paving the way for more informed decision-making and innovative breakthroughs.

However, as AI innovation has been happening so fast, what actions can companies take to keep on top of it all?

In this webinar, CEOs from SciNote, Ganymede, and Snthesis discuss the current landscape of AI use in biotech, best practices and platforms that your team can leverage right now to ready your lab and data for AI/ML, and our predictions of how AI/ML will develop in the biotech industry in the future.

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SciNote Electronic Lab Notebook

SciNote is a cloud-based ELN software with lab inventory, compliance, & team management tools used by the FDA, USDA and scientists in 100+ countries.

SciNote’s flexibility allows you to organize all your data in your preferred way. It gives structure and context to all your notes, excel sheets, tables, checklists, or pictures.

Organize your work by projects, experiments, and tasks. Write notes, assign inventory items, add a protocol, and enjoy checking off the protocol steps you’ve completed.

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7 Steps to Manage Your Research Data Digitally

Well-organized data will help you stay on top of your R&D plan, and optimize the potential of your data – from securing funding to developing collaboration.

But, how do you get started?

In this webinar, we will walk you through 7 actionable steps that will help you begin managing your data digitally and keep your data organized. We will discuss FAIR, the guiding principle of scientific data management and sharing. Lastly, we will compare common ways of recording and storing data, and discuss their pros and cons.

This webinar is open to anyone interested in managing research data digitally. We will focus on the strategies to get you started, regardless of what system you will be using. You are welcome to share information about this webinar with anyone you think might be interested.

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When a Snowflake Turns into a Blizzard

12 Reasons Snowflake Costs Get Out Of Control

For many teams, Snowflake's data warehousing capabilities seem limitless at first. But as usage grows more sophisticated, costs can balloon if not kept carefully in check. When Snowflake bills start arriving much larger than expected, it's time to tame the proverbial blizzard before it buries the budget.

This ebook focuses on twelve common culprits that can cause Snowflake costs to rise unexpectedly and a practical solution specific to analytics. From inefficient queries to oversized warehouses to unexpected data growth, these cost creep issues often happen gradually beneath the surface. But their collective impact can add up to a budget-busting blizzard if not addressed.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

If you don’t properly design your data warehouse for multi-tenant analytics, you’re gonna have a bad time. Most data warehouses are built to efficiently store large volumes of data from numerous sources, not for end-users of SaaS platforms working with multi-tenant analytics. This architecture mismatch causes a variety of headaches. We’ll outline the top 5 challenges and explain how to have a good time instead.

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