Ryn-Google Analytics
Integrate Google Analytics with In-House CRM and ERP Data to create website advertisement and performance measurable. or reverse from web performance plan organization KPI.
RynData import google analytics data and integrate your CRM data via files or interface. RynData pulls Google Analytics data either manually via the user interface, or programmatically via the Google Analytics management API. As noted above, this approach requires using a proprietary user Id to join your CRM data with the Google Analytics user data.
Extra Dimensions for analysis
Extra dimensions in google analytics data injected from ERP or CRM. Like client ID of Google analytics mapped with User ID from application. Or Site URL mapped to product ID.
From site url are formed from ecommerce database where product id belongs to its hierarchy like class, gender, category, department, Brand. User wanted to see site performance on different level. User make decision to further identify potential and investments. Another way is time dimension analysis. Product hierarchy are be analyze by daily/monthly changes.
Visualization and decision making
RynData visualizer gives flexible way to create reports without having any technical or query knowledge. User can create own graph, report. Report saved as template by administrator. Department users can use these template as process to repeatedly use and make decision. These reports influenced by in house database relations so it gives more relevant facts.
Many time company have internal measurement like product margin, buying cost, customer purchased history etc. These measurements are not available on Google analytics platform.
Additional Measurement
WebSite Performance analysis including including inhouse dimensions
Data Integration:
Data exported from google analytics in form csv or excel file for small application. Google Batch scheduling export analytics data from google to ryndata on scheduled interval like daily/weekly. For enterprise application rynData connect google API and pull data on scheduled interval.
Data warehouse
Ryndata provide data warehouse for to club in house data and google analytics data. Its designed to support large volume of data with high speed query in less than 3 sec response time.
Artificial intelligence and machine learning
Ryndata Data warehouse makes structured and clean data in unified format. For data scientist it’s easy to consume perform statistical analysis. Rest-API are developed by developer in separate system. These API are consumed and called by Ryndata engine. AI services are called with given dataset prepared in Ryndata engine by user. These filters and grouping gives users to prepare stable solution.
Conclusion
Data security or exposure on public is another issue. So, bringing google data from cloud to in house is safe method. In-house secure data stay in company walls only. User can measure Investment made in social media, SEO and advertisement and boost profitability.