and management of data and big data, which could help to develop, improve, and elevate internal data governance to support high-quality, secure data management and increase efficiency. The event took
: Million Baht) Loans to customers classified by business sector March December Variance 2019 2018 Amount (%YTD) Big Corporate & Corporate 143,130.8 136,881.7 6,249.1 4.6 SMEs & SSME 19,544.2 20,671.3
: Million Baht) Loans to customers classified by business sector March December Variance 2019 2018 Amount (%YTD) Big Corporate & Corporate 143,130.8 136,881.7 6,249.1 4.6 SMEs & SSME 19,544.2 20,671.3
business sector September December Variance 2019 2018 Amount (%YTD) Big Corporate & Corporate 128,555.4 136,881.7 (8,326.3) (6.1) SMEs & SSME 19,648.2 20,671.3 (1,023.1) (4.9) Retail 22,626.0 24,589.3
business sector September December Variance 2019 2018 Amount (%YTD) Big Corporate & Corporate 128,555.4 136,881.7 (8,326.3) (6.1) SMEs & SSME 19,648.2 20,671.3 (1,023.1) (4.9) Retail 22,626.0 24,589.3
group company 4.1 The total amount of debt issued and which have not been sold as approved by the shareholders' meeting and authorized the board of listed companies to consider the sale as appropriate The
classified by business sector December December Variance 2017 2016 Amount (%YTD) Big Corporate & Corporate 100,820.3 85,760.8 15,059.5 17.6 SMEs & SSME 24,001.3 24,251.4 (250.1) (1.0) Retail 29,198.7 31,132.4
classified by business sector December December Variance 2017 2016 Amount (%YTD) Big Corporate & Corporate 100,820.3 85,760.8 15,059.5 17.6 SMEs & SSME 24,001.3 24,251.4 (250.1) (1.0) Retail 29,198.7 31,132.4
in August 2018. E-Commerce segment Revenue from e-commerce segment in relation to e-Payment services decreased due mainly to high business competition, especially when commercial banks began big player
income lower than target. o Changing the fiscal accounting year of the company in Malaysia to be ending at December caused the customers to buy a big volume in last December 2018 and reflect to less buying