
Data Management Solutions
Utilizing transformational technologies like distributed ledger and ELEVaTE data management system, Rocktop delivers a comprehensive toolset for creating trust related to data and mitigating yield leakage through driving operational efficiencies.
Elements of Data Management
Rocktop focuses its technology on data management and operational efficiency.
Meet the Team
-
Transparency:
Blockchain’s transparent nature enables all participants to have visibility into the data recorded on chain. Every transaction and data update is traceable, providing a complete audit trail. Authenticity and provenance of data creates confidence in its accuracy and reliability. This transparency fosters trust among stakeholders, as they can independently validate the data and its history.
-
Validity:
Immutability plus transparency do not equate to validity. Data must be organized and validated prior to storing on blockchain. Additionally, the validity of the data must be maintained over time. Adding a validation layer to certify the accuracy of the data will lead to reduced friction, delays, incremental costs and potential disputes in the secondary markets, increasing the portability of the asset.
-
Immutability:
The ability for a blockchain ledger to remain a permanent, indelible, and unalterable history of transactions has the potential to transform auditing/due diligence processes into quick, efficient, and cost-effective procedures, and bring more trust and integrity to the core data.
Rocktop provides a comprehensive approach to data management, transformation, and visualization that is vital to creating the Best Asset.
Extract | Load | Evaluate | Validate | Transform | Execute
Data Sourcing
Identify and establish connections with external parties.
Data Ingestion and Extraction
Set up staging environments (data lake, blob storage, etc.) and retrieval procedures to ingest the raw datasets.
Data Scrubbing, Initial Transformation and Loading
Implement a data scrubbing process to identify and remove, filter and/or anonymize sensitive NPPI/PII from the raw datasets.
Advanced Evaluation, Validation, Normalization & Transformation
Implement advanced transformations to further clean, validate, and normalize the data, then transfer the data into the Core Tables.
Execution through Applications & Reporting
Advanced analytics and PowerBI dashboard reporting with adhoc SQL reporting layer.
Distributed Ledger Tech
By putting real-world assets on the blockchain, we can unlock new levels of transparency, immutability, and validity in the data.