1) Improved accuracy

Manually cutting and pasting data to populate reports can become very tedious, and prone to human error. A simple mistake of missing one variable or a respondent off of your selection could compromise the integrity of the data, and ultimately lead to poor insights and decisions. Using an automated solution eliminates this problem. Simply upload the data and allow the highly sophisticated algorithms to do all of the hard work for you, adding value and reliability to ad-hoc and longer term studies.

2) Improved efficiency

Many businesses today need insights immediately to help their decisions. A fundamental question they have today, might be much less relevant in the near future. Consequently the turnaround time between collecting the data and delivering reports is becoming shorter.

We are able to build templates using interim data, so that when we receive the final data, we can start running the reports instantly, helping ease the pressure if the fieldwork collection was to overrun.

Similarly, if a tracking study frequently adds new waves, we can re-run the reports as soon as we receive the data, generating hundreds of reports each day.

We also understand that the needs of a client can change, and new questions or design may be implemented. To do this manually to each report could take a long time, but our reports are designed to quickly and efficiently handle change.

3) Flexible Reporting

Perhaps your client needs to produce multiple reports from the same data set, broken down by brand, country, division, region, or any other variable. Our system is robust and instead of creating each report separately, we are able to create one master report that can be split down into different segments within seconds, by simply applying a filter. In addition to the data, images, questions, design and branding are all fully automated and will update accordingly.

4) User friendly, respondent level analysis

By using an automated online dashboard which allows respondent level analysis, users can apply filters and watch the shape of the data change instantly. This enables users to get a great view of the data, whatever their individual needs.

5) Time spent on actual analysis

Through improved efficiency, users have more time to focus on understanding the data and draw meaningful insights from the data, keeping the end client happy, and taking on more business, collectively improving your profit margin and reputation.