A Guide To Achieving:

Better Insight With Accurate Data

Download our guide and discover how to generate accurate, high-quality data that facilitates effective reporting, and allows you to gain deeper insight.

Download Your FREE Guide

2.5 Quintillion bytes of data are created every day…

In today’s modern world, data is everywhere. We create data every time we post an update on a social media platform, send an email to a friend, or upload a photograph online. Companies also collect data about us to gain greater insight about our preferences, and then send targeted content based on our interests.

As a result of this, the amount of data being generated is growing at a rapid rate, and by 2020 the digital data universe is expected to reach 44 zettabytes (44 trillion gigabytes.)

In addition to impacting our personal lives, this data explosion is also affecting our professional work. Businesses use data to improve everyday decisions, gain insight, and drive strategic decisions. For organizations involved with research and development in particular, data is a vital tool.

We’ve published this handy guide with the aim of guiding you through the journey of data management, and to help you gain unrivalled insight for future research and experiments.

Download and discover:

Why data accuracy is so important
The consequences of inaccurate data
How to record experiments accurately
How to make use of data
The benefits of publishing

Download for FREE!

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Data management
for bioprocess companies

In a wide-ranging interview with BWB TV at Bioprocess International, Jarrod Medeiros, Product Manager at IDBS, discusses the data management challenges facing bioprocessing organizations.

Click on the video below to begin playback.

IDBS Bioprocess video with Jarrod Medeiros

The Cost of Data Errors

Scientific experimentation and research and development ventures can often be time-consuming and costly. Because of this, it’s vitally important that all data is created and recorded correctly.

So, what is the risk to businesses when it’s not?

The true cost of data errors