Advisory firms collect data from 15 to 17 sources daily on average. Financial planning systems feed investment plans. Trading platforms execute strategies. Portfolio management systems track positions. Each system packages information differently, creating fragmentation that obscures insights.

Henry Zelikovsky of SoftLab360 joined The Wealth Advisor to explain how his engineering team transforms disconnected data into unified intelligence. With over a decade of machine learning experience in financial data—predating the current AI boom—SoftLab360 specializes in making sense of both structured and unstructured information.

The platform compares financial plans to actual execution results, identifying discrepancies and explaining their origins based on market conditions, trading patterns, and news flow. When gaps appear in data streams—a common occurrence when providers don't operate on holidays or weekends—the system knows whether to wait or alert users.

Platform transitions become opportunities rather than nightmares. Many firms use multiple systems simultaneously, often creating integration challenges. SoftLab360 cleans historical data, fills gaps, and moves assets between platforms while learning from inconsistencies along the way.

Zelikovsky founded the firm after decades in wealth management technology, building a consultative practice around custom development. Rather than forcing universal solutions, the team sits down with each firm to understand specific asset classes, preferences, and market views before targeting integrations to actual business needs.

The goal? Making platform transitions painless and turning messy data into assets advisors can use. Technologies like Snowflake enable the firm to transform data warehouses into data lakes, creating flexibility for future growth.

Your data is probably your most valuable asset. Time to make sure someone's taking care of it.

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