What are the data handling limitations that come with Klipfolio?
Klipfolio is beside Tableau, Zoho Analytics and Google Data Studio as one of the most popular data visualization tools on the market today. We can say that it is in the top 10 software players in this segment in 2019.
Klipfolio’s main focus is on data visualization and they offer a powerful solution. But while visualization is great, it’s only the end result of the data puzzle. Your data has to come a long way from measuring, collecting, consolidation, preparation and then final output to your visualization tool for interpretation. In order to generate aesthetically pleasing, all-inclusive reports for your team members or clients, one must navigate each step in the data handling process which can be rather time consuming.
So what are some of the issues you have to solve when working with a visualization tool and how should you deal with them? The answer is a no-code data integration platform capable of automating and simplifying your company data journey without the need for external developers and additional costs. Dataddo can connect all of your data with your BI tools, dashboarding apps and data storage solutions and you don’t need to write a single line of code.
Although Klipfolio provides somewhat universal connectors to CSV or JSON data, there are multiple cases when this solution cannot be used:
- An increasing number of APIs utilize the OAuth 2.0 authorization scheme. The lack of a generic OAuth2 authorizer prohibits connection to such services.
- Some APIs must perform multiple calls to obtain the desired result. E.g. number of results per single call is limited, so it is necessary to traverse using workarounds or to work with dynamically generated cursors.
- Many APIs require the use of dynamic parameters produced as results of a different call, like using one call to get all Users IDS and then dynamically “emitting” a call for each User to obtain details.
With a growing number of data sources that companies need to connect to and ever- changing data handling needs, it’s important to have an infrastructure in place that is as flexible as possible. Additionally, your data management has to stand on a solid foundation, on a data pipeline that connects all of your data sources, all of your online services and all of your data destinations. The entire process should be so seamless, simple and flexible that you forget that you are even using a data handling pipeline. That’s the value that Dataddo can bring to your company’s data management infrastructure.