Abstract: Methods and systems for assessing data involve, collecting samples of data elements from a database storing a population of data elements representing attributes of each numerous different financial transactions. Critical data elements from the collected samples are determined. Data quality rules are built and data dimensions are calculated for the critical data elements. A quality of data within the critical data elements for different data quality dimensions is monitored. Critical data elements that produce a high number of outliers are identified and causes for the outliers are identified. Thereafter, a corrective action plan to address a solution for the causes for the outliers may be developed and executed.

Abstract: A waterproofing composition may include coal tar, an acrylonitrile butadiene copolymer, and ground roofing shingles. A waterproofing composition may further include a solvent or water. A water-based waterproofing composition may include a clay (e.g. a ball clay). A method of preparing a waterproofing composition may include mixing a coal tar, an acrylonitrile-butadiene copolymer, and ground roofing shingles to form a mixture; and heating the mixture to a temperature of at least about 160° C. to form a waterproofing composition.

Abstract: A waterproofing composition may include coal tar, an acrylonitrile butadiene copolymer, and ground roofing shingles. A waterproofing composition may further include a solvent or water. A water-based waterproofing composition may include a clay (e.g. a ball clay). A method of preparing a waterproofing composition may include mixing a coal tar, an acrylonitrile-butadiene copolymer, and ground roofing shingles to form a mixture; and heating the mixture to a temperature of at least about 160° C. to form a waterproofing composition.

Abstract: Methods and systems for assessing data involve, collecting samples of data elements from a database storing a population of data elements representing attributes of each numerous different financial transactions. Critical data elements from the collected samples are determined. Data quality rules are built and data dimensions are calculated for the critical data elements. A quality of data within the critical data elements for different data quality dimensions is monitored. Critical data elements that produce a high number of outliers are identified and causes for the outliers are identified. Thereafter, a corrective action plan to address a solution for the causes for the outliers may be developed and executed.

Abstract: Base sheets, useful in roofing applications and in other waterproofing applications, are described which comprise (a) a fabric layer having an upper surface and a lower surface, and (b) a coating of a coal tar enamel on at least one surface of the fabric, the coating having an exposed outer surface. In one embodiment, a parting agent such as sand is applied to the coated enamel exposed surface(s) to prevent blocking (sticking) of the base sheet when stacked or formed into a roll.

Abstract: Base sheets, useful in roofing applications and in other waterproofing applications, are described which comprise (a) a fabric layer having an upper surface and a lower surface, and (b) a coating of a coal tar enamel on at least one surface of the fabric, the coating having an exposed outer surface. In one embodiment, a parting agent such as sand is applied to the coated enamel exposed surface(s) to prevent blocking (sticking) of the base sheet when stacked or formed into a roll.

Abstract: Water-based coal tar emulsions are described which are prepared from a blend comprising coal tar, water, acrylonitrile-butadiene copolymer powders and clay. After the emulsion is prepared from the blend, a rubber latex may be added to the emulsion. Films obtained from the emulsions exhibit desirable elongation and tensile properties.