Telecommunications
North America
End to End Project Lifecycle Management
Rather than facing a single, overwhelming problem, the company went through a series of interconnected challenges within its customer support operations. They needed a solution that could effectively manage and improve their overall support process.
High Call Volume: Customer support centers were overwhelmed with calls, leading to long wait times and frustrated customers.
Inconsistent Responses: Different support agents provided varying solutions to the same issues, causing confusion and dissatisfaction.
Limited Availability: Customer support was only available during business hours, leaving customers unattended during nights and weekends.
High Operational Costs: Maintaining a large customer support staff(chat support, review team, social media team, etc) was expensive, impacting the company’s annual budgeting.
Difficulty in Handling Complex Queries: Some customer issues were too complex for front-line agents, requiring escalation and further delays.
When we talk about delays and multiple manual errors in a process, we go to one solution i.e. automation. In this case, our AI developers proposed leveraging Generative AI and large language models to address these challenges.
The implementation of Generative AI had a significant positive impact on the company’s operations:
Customer satisfaction scores improved, with the average satisfaction rating increasing from 3.8 to 4.3 out of 5, reflecting the efficiency and reliability of the AI chatbot system.
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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.
