Consumer Goods
Middle East
End to End Project Lifecycle Management
The company highlighted multiple challenges in its physical outlet sales performance when we first sat together for a discussion. Here are the key issues we identified:
Product Sales & Outlet Performance
The client struggled to accurately analyze product sales, identify top-performing outlets, and manage oversales, impacting inventory optimization and resource allocation.
Rising Competition in ME
They lacked a reliable method to assess their brand’s performance against competitors, limiting their ability to apply strategic solutions.
Sales Department Tracking
We also noticed roadblocks in monitoring monthly attendance and individual product sales performance, affecting productivity and performance management.
Our experts implemented the following steps to manage and optimize their TikTok marketing efforts:
Excel (OneDrive/SharePoint Integration)
We helped the client pull data from Excel files stored on OneDrive and SharePoint. These cloud platforms made it easy to work together in real time, keep track of changes, and access the data seamlessly for further analysis.
VPN (Virtual Private Network)
Our team set up a secure VPN to ensure the client could safely access their internal data, especially when using SharePoint or OneDrive from remote locations. This gave them peace of mind knowing their sensitive data was protected, no matter where they worked.
ETL (Extract, Transform, Load) via Dataflows
We simplified the client’s ETL process by automating data extraction from Excel files, transforming it into the right format, and loading it into their data warehouse or Power BI. This made sure the data was clean, ready, and easy to analyze.
Power BI Setup
We used Power BI to turn the client’s data into powerful, interactive reports and dashboards. By linking the data from their ETL process, we helped them effectively utilize the collected information with easy-to-understand visualizations.
By putting a data-driven solution in place, the client gained better control over their product sales and outlet performance. This led to smoother inventory management and more efficient use of resources. With the ability to track competitor trends and optimize sales staff performance, they’ve been able to strengthen their competitive edge and improve overall operations.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
