Upgraded charting capabilities allow you to compare and consolidate multiple metrics into one graph. Even more, the revamped charts now support dual axes, enabling you to identify relationships between two or more fields with different magnitudes and scales of measurement.
Tape Cracker now supports all asset classes, offering enhanced pre-bid diligence to your entire firm.
Append critical data points—updated property value, updated property value date, and updated LTV—to individual loans through our partnership with HouseCanary, a nationwide brokerage and leading provider of residential real estate analytics and home valuation tools.
Users can now have more control managing calculations by editing and permanently archiving. This action can be done within the calculation library or when bulk applying.
Users can now perform data quality checks and evaluate credit worthiness through automated data validation rules.
We've completely overhauled our charting capabilities, offering performance graphs that are dynamic and interactive. You can access these charts within the loan age analysis, historical analysis, and deal age analysis sections of the web app.
You now have more control reporting data by grouping numeric fields at uneven intervals when running strats.
Tape Cracker users can now create tags and assign up to five tags to their calculations to make it easier to find.
You now have greater control filtering data by creating custom queries within Strats and Performances pages. By creating custom queries, you can now see the data you care about the most.
We’ve integrated our cashflow engine into Tape Cracker, enabling you to run up to seven cashflow scenarios on your tapes. Since dv01 is a platform built on a common infrastructure, scenarios can be saved and loaded throughout our product lines.
You can now transform your data in a more accessible format through summary tables. Quickly select existing data fields or calculate counts and basic statistics on the fly. Even more, you can export your summary tables for reporting purposes or for easy collaboration with colleagues.
You can now apply filters to field values to quickly pinpoint and fix missing or invalid data.
The Strat tool now allows you to summarize large datasets in seconds by creating custom columns for the data you care about the most. Eight functions are currently supported: Average, Count, Maximum, Minimum, Non-Zero Weighted Average, Percent of Total, Sum, and Weighted Average.
Our Strats page has been refreshed with a feature-rich datagrid, enabling you to rearrange, resize, and filter columns for faster analysis. You can access the sleek new Strats pages within any of our product lines.
While dv01 aims to standardize fields across the industry, you may want to store certain data under your unique business nomenclature. You can now create your own values for these fields in Tape Cracker, instead of mapping values to the dv01 schema. Data health bar will now show a non-standardized status, presenting the number of customized fields.
While dv01 empowers users to convert data into actionable insights, the meanings of standardized fields may be a mystery to some, resulting in incorrect assumptions. To provide clarity and ensure accurate analyses, users can now access the dv01 Data Dictionary within Tape Cracker.
To make certain analyses easier, we have added 17 data columns, removed 7, renamed 4, and made 1 data type change. You can now access data related to updated home values, loan modifications, cumulative payment types, and more.
We have streamlined the Tape Cracker workflow, combining two separate steps into one. You can now apply multiple calculations and formatting actions to resolve invalid data within the same step.
We have made it easier to learn the dv01 syntax for calculating values on your loan tapes. A syntax tooltip now appears as you type a calculation, and the complete dv01 syntax manual is now available within the web app.
An enhanced table interface presents data in an easy-to-analyze format: individual metrics are grouped together by category, data columns can be reordered and resized, data can be easily copied-and-pasted into external applications, and more.