AIanalyticsandsmartdashboards
Do you want to see the real return on your advertising budgets? **Implementing end-to-end analytics** and building smart dashboards allow you to combine data from advertising offices, the site and CRM into a single source of truth. Ople sets up interactive analytics in Looker Studio and Power BI, integrating AI algorithms to predict demand, LTV and prevent customer churn. You get the opportunity to manage your business based on exact numbers, not intuition.
End-to-end analytics with AI integration is a system of collecting and combining data from all channels (advertising, website, CRM, ERP) into a single knowledge base. It automates the construction of dashboards in Looker Studio or PowerBI and uses AI for predictive modeling of sales and customer behavior.
/ Pain vs Solution
Why do classic reports in excel no longer work?
Торкніться проблеми 👆
Традиційний підхід
You're losing potential customers to outdated tools.
Рішення Ople
We connect modern AI solutions that pay for themselves in months.
Традиційний підхід
Managers spend many hours on routine.
Рішення Ople
Full automation of business processes with the help of smart algorithms.
Традиційний підхід
Data is scattered across different systems, and it takes weeks of manual work to put together a single report.
Рішення Ople
AI automatically aggregates data from all sources into a single repository (Data Lake) and instantly generates end-to-end reports on request in plain language.
/ FEATURES & BENEFITS
Combining data sources into a single repository (Google bigquery)
We collect costs from Google Ads, Meta Ads, TikTok, traffic data from Google Analytics 4 and sales from your CRM system, clean them and store them in the cloud.
Interactive dashboards looker studio and power bi
We visualize the key metrics of your business (LTV, CAC, ROMI, conversions) in convenient graphs that are updated automatically in real time and are available from any device.
Predictive ai-analytics
Artificial intelligence analyzes user behavior and order history, predicts sales volumes for the following months and warns in advance about the threat of customer churn (churn rate).
/ Data collection
Combining data from different sources (Google Analytics, CRM, ERP, advertising offices) into a single repository.
/ Cleaning and preparation
Deduplication and data formatting for correct machine analysis.
/ Model training
Application of machine learning algorithms for finding regularities and predictive analytics.
/ Visualization
Creation of interactive dashboards (Looker Studio, PowerBI) with an integrated AI assistant.
/ FAQ
Any structured historical data of the company: sales tables, logs of user behavior on the site, advertising costs or financial transactions.
AI data analytics (AI Data Analytics) transforms arrays of disparate information into understandable insights for business. Ople deploys analytical dashboards based on artificial intelligence, which are able to forecast demand, find anomalies in sales and automatically build reports. Instead of complex SQL queries, you can ask the system a question in plain language, for example: "Why did sales fall this month?", and get an instant answer with graphs.