Data Platform Services

Our data platforms serve as the vital nexus unifying internal and external data sources and operations, empowering every team to effortlessly access precise, real-time data.

Powered by cutting-edge cloud technologies, our solution seamlessly orchestrates data ingestion, consolidation, preparation, and secure delivery. This ensures the data governance of business-critical information, enabling cost-efficient scalability and unleashing actionable insights through advanced analytics.

Business Challenges

CPG companies today use advanced tools like Image Recognition and Sales Force Automation to easily collect large amounts of raw data every day. However, the real challenge comes when they try to use this data. Research by IDC shows that only 32% of the data that companies collect is put to good use, while the remaining 68% remains untapped. This untapped potential leads to the following business issues:

Limited Collaboration

Isolated data repositories hinder organization-wide access,
leading to fragmented insights and missed opportunities for data-driven decisions.

Inaccurate Insights

Bad data quality, inconsistencies, and errors make it hard to get valuable insights, and fixing the data quality seems impossible or time-consuming.

Limited AI Implementation

The lack of comprehensive, structured data hampers machine learning and AI initiative effectiveness, falling below the data architecture standards.

Trust and Compliance

Unsecured sensitive information leads to breaches and unauthorized access which affect overall trust, compliance and the brand integrity of the business.

Escalating Costs

The sheer volume of data can lead to storage inefficiencies, escalating costs, and potential bottlenecks.

Slow Decision-Making

Timely access to relevant data becomes a major bottleneck, slowing down the decision-making processes.

How Data Platforms Work

To ensure a seamless data platform solution, the first critical step is establishing an effective data collection process. Quality data is the key to precise insights, predictions, and the development of robust data products. Our data platform services start from raw data input and progress through processing, analysis, and visualization. Here’s an overview of how it works:

Step 1

Data Gathering

Our data ingestion initiates, with seamless connections to both internal and external sources, effortlessly accommodates all data types. You have the flexibility to choose between near-real-time streaming, with 15-minute updates, or batch ingestion to suit your needs.

Whether you’re dealing with extensive or compact datasets, our streamlined loading process ensures efficient data preparation. Furthermore, we prioritize accuracy by implementing meta-oriented processes that effectively minimize the potential for human errors.

Step 2

Data Cleansing and Validation

In data management, cleaning and validation, precision and automation are key. Our automated test framework detects discrepancies between data sources and transformation layers, ensuring reliable data.

Specialized algorithms then cleanse, convert, and validate data, even from complex sources. Streamlined with Azure Ecosystem pipelines and CI/CD practices, it reduces the risk of human errors. Additionally, our data platforms automatically identify and correct inefficient code, adhering to industry best practices and further optimizing data quality and efficiency.

Step 3

Data Processing

Our data processing stage is designed for efficiency and accuracy. It includes a centralized data lake for all your organization’s data, promoting a “one source of truth” concept and enabling data historicization.

To enhance data quality, we employ techniques such as managing late-arriving dimensions and data enrichment. This ensures enriched and reliable data. Our platform efficiently manages massive data volumes, even in the terabytes, while adhering to industry-leading Data Modeling Standards. This approach lays the foundation for scalable insights.

Step 4

Data Exchange

When data has been cleansed, validated and processed we enable the exchange process with the help of APIs.

Now, an organization can provide managed access to company data to 3rd party data consumers as well as give structured data for all business functions: sales, finance, HR, supply, logistics and procurement.

Step 5

Data Exposure

Lastly, the data can be made accessible through various means, including:

Reports: We offer standard reporting features with self-service options through any available business intelligence (BI).
APIs: Managed access to company data is available for targeted applications and third-party data consumers.
SSBS AI-Driven EcoSystem: Integration seamlessly extends to Sales Force Automation (SFA), Trade Promotion Management (TPM) system, Distributor Management System (DMS) and B2B eCommerce platform.
AI/ML Instances: You can harness our data for predictive insights and recommendations

Enable Data Platform Solution to amplify your competitive advantage with solid insights

Data Platform Implementation Strategy

Define Business Goals
First, we set up the goals for the implementation of the data platform solution. It's essential to avoid a haphazard approach of digitizing every aspect of data and processes at once. Instead, we focus on identifying key business areas with the most potential for benefits and prioritize the changes that can have the greatest impact.
Select Data Sources
Next, the focus is to identify and establish an efficient collection process for various inputs. Our approach accommodates a wide range of data sources, including SAP, Excel, CRM, syndicated research, paper documents and more. Each of these sources can be collected at its own pace, from periodic batch updates to real-time streaming.
Implement Data Platform
Finally, we begin the iterative journey of implementing the data platform solution, drawing inspiration from the world's best practices in data ingestion, processing, automation, systematization, cataloging, and preparation. As a result, we have a fully established high-quality data process that is ready to drive powerful insights across the organization.
Enable Enhanced Data Products
While collecting and processing data is important, the real focus is on delivering that data to the right people at the right time. This is where our final step comes in: creating and implementing customized data products that meet your specific needs. During this phase, we introduce various reporting streams and AI/ML solutions to drive substantial business outcomes.

Our data platform implementation services is designed for rapid benefits. We process each data input and source in parallel, ensuring you don't have to wait for complete data processing to start seeing an ROI. Prioritizing tasks and setting clear goals from day one is crucial to providing your business with the most important insights, as quickly as possible.

What Our Clients Say

The strong partnership with SoftServe helped us to build and achieve success with the Data Platform. We came to SoftServe with this challenging task because we knew that they have the ability to see the big picture and provide a reliable process.

James Gillespie Data & Architecture Director, AB InBev

Read the case Watch the webinar

The creation of an ecosystem fully resonates with our vision of digitizing our company. The fact that your offer included a complex solution – linking many activities (solutions for individual business activities) into an ecosystem – was one of the main reasons for starting the cooperation.

Here we have the same view of the digitalization of processes in a general company.

Ivo Krejčí Group Digitalisation Officer, Mattoni 1873

All Success Stories

Real Use Cases of Data Platform Solution Implementation

The primary role of the data platforms is to facilitate data-driven decision-making, ultimately enabling companies to derive value from the data they collect. In practical terms, this means that the data platform empowers the establishment of unified reporting and provides the flexibility to create various data products:

Reliable Data Products

Processed data offers endless opportunities for machine learning and AI data products, aligning business processes with valuable insights. This uncovers hidden trends, delivering a competitive edge.

A good example would be our client AB InBev, which was able to save millions of dollars in inventory management and increase sales by 3% thanks to the Data Platform.

Unified & Flexible Reporting

Quite often CPG businesses operate in functional funnels, with limited collaborative reporting, data input and sharing of information.

A Data Platform solution becomes a single source of truth for the entire organization. It empowers unified cross-functional BI reporting, unveiling dependencies that were previously hard to discern. This marks a true shift toward data democratization, creating a comprehensive and lasting digital transformation.

Why Build Data Platforms with SSBS?

CPG Focused Approach

Data Platform solution built with a focus on specific CPG goals and needs

Real-life data readiness

System can input and process both structured and unstructured data

Cost Efficiency

Flexible approach to architecture design for minimized total cost of ownership

Security & Compliance

SSBS has all required security industry standards as well as partnership relationships with major tech providers

Our Technology Stack

The technology stack we choose is primarily determined by our client’s specific needs and objectives, as well as the existing tools at their disposal. In practical terms, we have substantial expertise in working with both on-premise and cloud infrastructure, as well as employing both out-of-the-box solutions and customized data platform architectures.

For smaller organizations with standardized data requirements, we often opt for all-in-one solutions such as Data Bricks, Synapse Analytics, or Snowflake. These comprehensive platforms expedite the implementation process and deliver a good level of cost efficiency.

In the case of larger enterprise organizations, our typical recommendation involves crafting customized data platform architecture. This approach combines ready-to-go engines with tailor-made components, resulting in substantial cost savings without sacrificing performance.

Our Clients

Since 2003 we have cooperated with the world’s largest CPG players from around the world. Even thou every client has unique needs, our team always finds a way to shape solutions the way that the needs perfectly.

Featured Insights

Case Studies September 10, 2025

From Chaos to Clarity: How FMCGs Build Reliable Data Platforms

Case Studies June 19, 2025

Transforming AB InBev’s Data Platform with DevOps Automation

Event January 27, 2023

AB InBev: how data transform business

all insights

FAQ

What is a data platform, and why is it important for CPG companies?

Data platforms are comprehensive solutions that unify and manage data from various sources within a CPG company. They’re crucial for ensuring real-time access to accurate data, enabling data-driven decision-making, improving data governance, and fostering collaboration across departments. For CPG companies, this means better insights into consumer behavior, more efficient operations, and the ability to swiftly respond to market changes.

How can a data platform improve our decision-making process?

A data platform solution enhances decision-making by providing a single source of truth for all your data, from sales and supply chain to marketing and finance. With advanced analytics and business intelligence tools, it enables real-time insights and predictive machine learning models, allowing you to make informed, data-driven decisions that can improve efficiency and drive business growth.

Can the data platform support AI and machine learning initiatives?

Yes, data platforms are fully equipped to support AI and machine learning initiatives. They provide the necessary infrastructure for data lakes, data preparation, and model training, enabling you to build and deploy predictive models that drive smarter decision-making and improve operational outcomes.

What to learn more? Let’s talk!

Tell Us the Story of Your Business