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OCR SLIP PROCESSING & RISK MANAGEMENT

    The platform performs OCR on incoming slips to ingest data, extract data, enables corrections and amendments with approval workflows that are configurable for admins, underwriters and senior underwriter functions. Through Snowflake it has improved data reporting enabled to visualise risks subject to incoming data and shares data from incoming weather data as an example for certain perils. The Insurance platform currently is built on Snowflake with Python and Nginx and has reinforced machine learning on data ingestion around OCR and the slip processing.

    BCBS239

      We recomamend using theΒ  DCAM framework linked to a breakdown of the BCBS239 principles. The framework can serve as a foundation for how each of the constituent elements from BCBS239 are addressed and measured.

      TRIM

        Further layers can be added like for TRIM that are related to elements of business processes & systems. Each linked to the model in order to be mapped against the BCBS239 principles and/or DCAM framework elements.

        PHARMA DATA & PROCESS CONSOLIDATION

          𝖠 𝗅𝖺𝗋𝗀𝖾 𝗉𝗁𝖺𝗋𝗆𝖺 π–Όπ—ˆπ—†π—‰π–Ίπ—‡π—’ 𝗁𝖺𝖽 𝖺 π—…π—ˆπ—‡π—€ 𝖺𝗇𝖽 π—†π–Ίπ—‡π—Žπ–Ίπ—… π—‰π—‹π—ˆπ–Όπ–Ύπ—Œπ—Œ π—π—ˆ π—Œπ—π–Ίπ–»π—…π—‚π—Œπ— 𝗂𝗆𝗉𝖺𝖼𝗍 π–Ίπ—‡π–Ίπ—…π—’π—Œπ—‚π—Œ π–»π—ˆπ—π— π—Žπ—‰π—Œπ—π—‹π–Ύπ–Ίπ—† 𝖺𝗇𝖽 π–½π—ˆπ—π—‡π—Œπ—π—‹π–Ύπ–Ίπ—† π—π—ˆ 𝖽𝖾𝗍𝖾𝗋𝗆𝗂𝗇𝖾 π—‡π–Ύπ–Όπ–Ύπ—Œπ—Œπ–Ίπ—‹π—’ π–Όπ—π–Ίπ—‡π—€π–Ύπ—Œ 𝗐𝗂𝗍𝗁 𝖾𝗏𝖾𝗋𝗒 𝗇𝖾𝗐 π—‹π–Ύπ—…π–Ύπ–Ίπ—Œπ–Ύ π—ˆπ–Ώ 𝖼𝗅𝗂𝗇𝗂𝖼𝖺𝗅 π—π–Ύπ—‹π—†π—‚π—‡π—ˆπ—…π—ˆπ—€π—’.

          SMART METERING DATA MANAGEMENT

            Provided advisory on smart meter data management and transparent reporting on SMWAN, DNS_TIMING and OT_EVENT_LOG storage. Designed and facilitated near realtime access in the use of QueryIT and ICFFs – Index Compressed Data Blocks for IOT scale data growth

            INSURANCE FRAUD PLATFORM

              Fraud risk is constantly changing meaning that search against all of our data both Structured and Unstructured Data is vital to be empowered to identify the patterns. Share data extracts through the Snowflake Data Exchange easily & securely for customisable information, data interrogation and joining with internal & 3rd party platforms. This enables the easy creation of rules engines, watch lists, benchmark run results, fraud analytics & profiling