Objective: The goal of this case study is to examine the impact of social media and email campaigns on website traffic and sales, with a focus on determining the most effective campaigns for driving revenue.

Approach: In order to achieve the objective, the following steps were undertaken:

1. Data Integration: Google Cloud Platform (GCP) was employed to collect social media marketing analytics data from various platforms, including Facebook, LinkedIn, and Twitter. This enabled a comprehensive view of the marketing landscape and its influence on the target metrics.

2. Data Ingestion: Fivetran, a cloud-based data ingestion tool, was utilized to import the collected data into Google BigQuery's landing area. This ensured that all relevant data was readily accessible for further processing and analysis.

3. Data Transformation: The data was transformed using DBT, a tool that leverages SQL and Python/Jinja. This step facilitated the cleaning and organization of the data, preparing it for subsequent analysis.

4. Workflow Management: Google's managed service, Apache Airflow (Google Composer), was employed to orchestrate and execute tasks in a sequential manner.

Overview: This case study highlights the use of DBT (Data Build Tool) in delivering a range of data engineering projects with modern data pipeline architecture. DBT has been employed in diverse domains such as customer modeling, NetFlow data analysis, social media marketing analytics, and educational data processing.

Key DBT Technologies:

• Python Jinja template for dynamic SQL generation

• SQL for data transformation and manipulation

Data Warehouses Integrated with DBT:

• Google BigQuery

• Snowflake

• AWS Redshift

• PostgreSQL

In addition, stored procedures were utilized for handling smaller tasks within the projects.

Layered DBT Application Architecture: The DBT projects were structured using a layered application architecture, which included the following stages:

1. Data combination

2. Name standardization

3. Data standardization

• Aggregation

• Data type standardization

4. Analytics

This approach facilitated a modular and scalable development process, allowing for efficient data processing and analysis.

Advanced DBT Features: The projects made use of several advanced DBT features, such as:

• Table or View materialization for optimized data storage and retrieval

• Full refresh or incremental strategy based on merge, enabling efficient data updates

• PreHook and PostHook for executing custom actions before and after transformations

At Strategic Soft LLC, we take pride in delivering innovative solutions to help organizations make data-driven decisions. In a recent project, we worked with a hospital to optimize their emergency department staffing using advanced analytics and forecasting techniques.

Our team trained a model on historical emergency department data, including patient visits to different departments. Using this model, we were able to forecast the number of patients expected to visit the emergency department in the coming weeks. Based on this forecast, we proposed staffing recommendations to the hospital to ensure that they had adequate resources available to handle the anticipated patient load.

By using our advanced analytics and forecasting techniques, the hospital was able to optimize their emergency department staffing and improve patient care. This project is just one example of how our team at Strategic Soft LLC can help organizations leverage the power of data to make informed decisions and drive business growth.

Contact us today to learn more about our data engineering, business intelligence, and custom software development services and how we can help you achieve your strategic objectives.

At Strategic Soft LLC, we are passionate about helping organizations harness the power of their data to make informed strategic decisions. We recently had the opportunity to work with a client who was struggling to integrate their sales data from Quick Book and FishBowl to a central data warehouse in BigQuery. The client needed to streamline their sales data and make it easily accessible to their marketing team, but they were facing several challenges in doing so.

Our team of skilled and experienced software engineers stepped in to help. We developed a utility in .net to sync Quick Book data on a daily basis to the data warehouse, and we also developed a script in python to export and import Fishbowl data to BigQuery. We then cleaned and transformed this data in BigQuery using SQL Stored Procedure, ensuring that the data was accurate, consistent, and easily accessible.

To help the client better visualize their sales data, we built paginated reports and Power BI Dashboards in Power BI. We also developed a power automate flow to generate an Excel file used for strategic decisions from the sales data. And to make it even easier for the client to access and analyze their data, we built a custom CRM in React JS on top of the centralized data warehouse. In the CRM, we showed client listings grouped in classes, as well as yearly, monthly, YTD, and MTD sales data in various ways.

Our solution helped the client's marketing team define and identify their goals, monitor their performance, and make data-driven decisions. With our commitment to quality, timely completion of projects, and personalized service, we were able to help the client overcome their data integration challenges and achieve their strategic objectives.

At Strategic Soft LLC, we are dedicated to delivering exceptional results that exceed our clients' expectations. Contact us today to learn more about how we can help your organization unlock the full potential of your data.