Ensuring data quality is a critical challenge for trading firms, as errors and inconsistencies can significantly impact profitability.
With the CWIQ Platform, firms can rapidly address data quality issues, streamlining processes to resolve them immediately.
Code Willing empowers trading firms to maintain solid datasets that drive profitable investment outcomes.
FIX ISSUES WITH DATA CONTENT, NOW.
Ensuring data quality is a time-consuming headache for trading firms globally. When you stand up a new ingestion pipeline with the CWIQ Platform you start processing data and resolving quality issues in hours—not days or weeks.
FACT #1
Data scientists spend up to 80% of their time collecting and preparing data to be explored for actionable insights.
FACT #2
Data scientists deal with data errors every day while cleaning and mapping their data.
DATA QUALITY IS A CRITICAL INDUSTRY PROBLEM. WITHOUT A CLEAN DATASET, YOUR DATA LAKE AND MODEL INPUTS WILL BE CORRUPTED. AS THEY SAY, GARBAGE IN, GARBAGE OUT.
If the data is incorrect, if the data is delayed, or if the data is not ACCURATELY presented, it will have a direct negative impact to your P&L.
TIE, JOIN & MERGE DATASETS REGARDLESS OF ORIGIN.
Data-driven firms managing investment portfolios rely on a wide array of data inputs from multiple vendors. The CWIQ platform provides a systematic approach to mapping, merging and joining multiple datasets.
Cwiq_code: Unique identifier ensures data is linked across various datasets.
Security Master: Ensuring that securities are accurately referenced across the lifecycle of the company.
Corporate Actions: Providing vital updates related to dividends, stock splits, or mergers & acquisitions.
Pricing Data: Ensuring prices across various vendors align correctly for accurate financial stock selection.
Trades and Quotes (Ticks): Supporting historical or real-time analysis by linking high-frequency trading data.
Fundamental Data: Enabling financial metrics such as earnings, revenues, and valuations to be tracked across multiple data sources.
Data Cleaning
Identify & rectify errors to ensure point-in-time data is accurate.
Close Price: Misreported close prices can lead to incorrect valuations of securities.
Shares Outstanding: Inaccuracies skew key financial ratios such as earnings per share (EPS), leading to faulty investment analysis.
Trade Currency: Incorrect or missing currency data can affect cross-border trades, especially in multi-currency portfolios.
Ensuring that this data is properly mapped, uniquely identified, and delivered error free is critical to seizing on market opportunities. Our CWIQ Suite helps avoid costly mistakes.