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Data Platform

Our Data Platform serves as the vital nexus unifying internal and external data sources and operations, empowering every team to effortlessly access precise, time-relevant data.

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

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    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 AI initiative effectiveness, falling below the market standard

    Trust and Compliance

    Unsecured sensitive data 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 Platform Works

    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 solution starts from raw data input and progresses through processing, analysis and visualization. Here’s an overview of how it works:

    Step 1

    gather

    Data Gathering

    Our data gathering 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

    Clean

    Data Cleansing and Validation

    In data collation and 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 platform automatically identifies and corrects inefficient code, adhering to industry best practices, further optimizing data quality and efficiency.

    Step 3

    process

    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

    exchange

    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

    exposure

    Data Exposure

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

    1. Reports: We offer standard reporting features with self-service options through any available BI.
    2. APIs: Managed access to company data is available for targeted applications and third-party data consumers.
    3. 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.
    4. AI/ML Instances: You can harness our data for predictive insights and recommendations

    Enable Data Platform to amplify your competitive advantage with solid insights

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      Data Platform Implementation Strategy

      1. Define Business Goals

        First, we set up the goals for the implementation of the data platform. 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.

      2. 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.

      3. Implement Data Platform

        Finally, we begin the iterative journey of implementing the data platform, drawing inspiration from the world's best practices in data collection, 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.

      4. 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 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.

      Real Use Cases of Data Platform Implementation

      The primary role of the data platform 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 AI/ML 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 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 the Data Platform 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 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.

      What to learn more? Let’s talk!

      Tell Us the Story of Your Business

      Tell Us the Story of Your Business

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