Problem 2: Technical
Integration of popular cloud clicks theoretically takes a couple of clicks. In practice, you may encounter a number of unforeseen situations that complicate this process.
For cloud-based end-to-end analytics systems:
Limited feature set. It is very difficult to achieve a perfect fit for your needs due to the lack of standard integration with other systems and the need to use APIs.
The system is non-transparent dubai email list and there is a lack of understanding of how it works. The results of analytics have to be taken on faith. The data often does not match the information from the CRM, and transactions are difficult to correlate with the source.
The need to provide information constituting a commercial secret to a third party. If the owner of a small or medium-sized business decides to implement a cloud service on his own, in large companies the marketing department requires permission from the security service, and it is not easy to obtain.
It is impossible to download data in a convenient format or to switch to another system while preserving all data.
Custom analytics systems have no fewer problems. Creating your own product is a labor-intensive and complex process, it is unlikely to be done with the help of one or two full-time developers, and there is little hope for freelancers: the result may be far from expected.
Before you start working on your own end-to-end analytics system, you need to determine:
How many data sources will there be (the fewer, the simpler);
What data will be needed and how to combine it;
Which visualization system to choose and in what formats to create reports.
Typically, the main difficulty is data unloading and merging. Many systems limit the number of API requests and prohibit unloading non-aggregated data.
Small companies that do not have developers and analysts on staff can be advised to use ready-made connectors for data upload, and Microsoft Power BI or Google Data Studio for visualization.
Download a useful document on the topic:
Checklist: How to Achieve Your Goals in Negotiations with Clients
The procedure for implementing the end-to-end analytics service
Defining the Goal
Figure out why exactly you need end-to-end analytics. Here are some possible options:
Analytics of advertising sources with conversion into leads and sales.
Sales Funnel Analytics.
Analysis of the dynamics of changes in the cost of a lead across advertising channels and advertising campaigns.
Calculation of various metrics (e.g. ROI, LTV, etc.).
Building charts and dashboards.
Perhaps your goals will be different, the main thing is that you clearly understand what tasks the CA system should solve in your business.