Datameer Case Studies Yapı Kredi Delivers Better Customer Insights 50% Faster

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	Yapı Kredi Delivers Better Customer Insights 50% Faster Datameer

Yapı Kredi Delivers Better Customer Insights 50% Faster

Datameer

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Data-as-a-Service
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Services	Data Science Services
Challenge	Yapı Kredi, the fourth largest private bank in Turkey, wanted to become a more data-driven company to increase business agility, reduce operating expenses, and improve the overall customer experience. However, they faced the challenge of deriving value from their vast amount of data, most of which was structured and stored in a traditional relational data warehouse. Their traditional business intelligence tools were too inflexible and forced a waterfall approach, which was time and resource-consuming. The rigid data schemas required before moving to the analysis step every time made the process laborious and slow. Yapı Kredi needed a more agile toolset for the iterative process of data discovery that’s important for any analysis. Read More
About Customer	Yapı Kredi is the first national private bank of Turkey and has set the standards for the Turkish banking sector by introducing innovative products and services since 1944. It is now the fourth largest private bank in Turkey with over 19,500 employees and 11 million active customers. Adhering to a customer-centric strategy and segment-based service model, Yapı Kredi delivers its service through a network consisting of 1,015 branches and more than 4,217 ATMs in addition to its rich-content Internet and telephone banking applications. Yapı Kredi also has banks in four other countries: Russia, Azerbaijan, Netherlands, and Malta. Read More
Solution	Yapı Kredi chose Datameer and Hadoop to expedite the traditional analysis process. Datameer allowed data preparation and analysis to be done in one application with one UI, enabling data scientists to prepare, discover and understand their data much more quickly for use in their SAS application. Business analysts were brought into the credit risk model update process to determine the relevant attributes to consider, as they understand their data in its context better and can more quickly determine the significance of data changes. With Datameer’s familiar Excel-like user interface, analysts learned to use Datameer quickly and built correlation calculations using Datameer’s 240+ functions to determine the relevant attributes to update in the model. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Data-as-a-Service

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Services

Data Science Services

Challenge

Yapı Kredi, the fourth largest private bank in Turkey, wanted to become a more data-driven company to increase business agility, reduce operating expenses, and improve the overall customer experience. However, they faced the challenge of deriving value from their vast amount of data, most of which was structured and stored in a traditional relational data warehouse. Their traditional business intelligence tools were too inflexible and forced a waterfall approach, which was time and resource-consuming. The rigid data schemas required before moving to the analysis step every time made the process laborious and slow. Yapı Kredi needed a more agile toolset for the iterative process of data discovery that’s important for any analysis.

About Customer

Yapı Kredi is the first national private bank of Turkey and has set the standards for the Turkish banking sector by introducing innovative products and services since 1944. It is now the fourth largest private bank in Turkey with over 19,500 employees and 11 million active customers. Adhering to a customer-centric strategy and segment-based service model, Yapı Kredi delivers its service through a network consisting of 1,015 branches and more than 4,217 ATMs in addition to its rich-content Internet and telephone banking applications. Yapı Kredi also has banks in four other countries: Russia, Azerbaijan, Netherlands, and Malta.

Solution

Yapı Kredi chose Datameer and Hadoop to expedite the traditional analysis process. Datameer allowed data preparation and analysis to be done in one application with one UI, enabling data scientists to prepare, discover and understand their data much more quickly for use in their SAS application. Business analysts were brought into the credit risk model update process to determine the relevant attributes to consider, as they understand their data in its context better and can more quickly determine the significance of data changes. With Datameer’s familiar Excel-like user interface, analysts learned to use Datameer quickly and built correlation calculations using Datameer’s 240+ functions to determine the relevant attributes to update in the model.

Impact #1	Yapı Kredi’s data scientists are now able to use Datameer to prepare and cleanse the data and export it for use in SAS.
Impact #2	Datameer lets business users do the data preparation themselves without needing to talk to IT.
Impact #3	The bank has expanded analytics use cases to finance and marketing.

Impact #1

Yapı Kredi’s data scientists are now able to use Datameer to prepare and cleanse the data and export it for use in SAS.

Impact #2

Datameer lets business users do the data preparation themselves without needing to talk to IT.

Impact #3

The bank has expanded analytics use cases to finance and marketing.

Benefit #1	50% Faster Data Preparation
Benefit #2	98% Time Reduction in Process

Benefit #1

50% Faster Data Preparation

Benefit #2

98% Time Reduction in Process

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Overview

Yapı Kredi Delivers Better Customer Insights 50% Faster

Operational Impact

Quantitative Benefit