Informatica Data Transformation for Financial Services

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Financial Services Survey Report Informatica Data Transformation Universal Data Transformation for a Constantly Changing World

Transcript of Informatica Data Transformation for Financial Services

Page 1: Informatica Data Transformation for Financial Services

Financial Services Survey Report Informatica Data Transformation

Universal Data Transformation for a Constantly Changing World

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Introduction

The financial services industry is growing again. The complex regulatory challenges are not gone but technology initiatives are, once again, supporting growth strategies.

Across sectors, these strategies obviously differ but a couple of themes have emerged:

Investing in information innovation. The crux of this theme is to make new information more accessible while applying data management to ensure the data is trustworthy and secure. This includes a wide range of initiatives from unlocking data trapped in legacy systems to accessing new data sources for advanced analytics and risk management.

Managing regulatory uncertainty. The enemy of managing reporting risk is the proliferation of manual or custom processes as part of the reporting process. New levels of automation and standardization are required to ensure more consistent reporting across platforms.

These are complicated themes that can only be satisfied with the advanced integration flexibility delivered by Informatica Data Transformation.

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Integration Inflexibility

The problem stems from the technical debt accumulated from expensive custom scripts with low amounts of reuse and zero standardization. Continuing the status quo means inevitably IT is perceived as failing the business and unable to support growth initiatives.

Data transformation is implement to replace manual processes or hand coded scripts which customers find are simply too time consuming and costly to maintain at scale.

As the business attacks information innovation or regulatory compliance, requests for new data sources and data format support flood IT. Do you often hear the complaint that “it takes too long and costs too much” to add new data formats and sources?

Top 3 Challenges

Cannot onboard new formats fast enough

High development costs of existing solution

No standard process so everything is custom

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Need Broad Format Support

55% To Support

Complex XML

45% To Support

Unstructured

Documents (PDF, XLS, DOC)

38% To Support

Industry

Standards

Source: TechValidate. TVID: 022-D04-AC4

We asked our customers what was the most common reason why they implemented a data transformation solution. The top 3 reasons are:

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Most Common Customer Projects

Analytics

Data analysts know the most interesting data for gaining new insights resides outside their four-walls. As a result, 67% are integrating data from external data sources. With 3rd party data, you have little control. This lack of control, combined with increased business demands, pushes existing processes to their breaking point.

This is not to say that integrating internal data is going away, as 45% said they are integrating internal systems data with a data warehouse.

Application Modernization

Aging applications, the high cost of maintaining redundant systems and frequent M&A means application modernization, rationalization, and consolidation projects are a constant.

In these projects, new applications drive new processes which create new integration requirements. 45% say new application integration requirements are driving them to look for alternative data transformation solutions vs. business as usual.

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Where the Efficiencies are Gained

A single solution to automate any-to-any data format transformation

Pre-built industry data format libraries to jump start projects

Create reusable transformations to standardize across platforms

Map once. Deploy Anywhere. Data transformation run-time is embeddable in any platform: PowerCenter, EAI/ESB, Hadoop, or Cloud

Visual development environment with debugging to reduce mapping errors and testing time

82% Say They Are

More Efficient**

* Because of multiple data type support

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Deliver Projects On-Time

The primary objective of moving away from hand coding or manual processes is to meet the needs of the business, on-time and on-budget.

Nearly 50% of Informatica Data Transformation customers report at least a 50% improvement in their speed to market for new projects.

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Optimize Your Resources Time

Most increased productivity by at least 20%

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Achieve Rapid ROI

Through reuse, automation and reduced development time, most customers (52%) are able to achieve return on their investment within 12 months or less.

More importantly, is the ability to integrate any data to support business or regulatory initiatives in half the time. This helps IT build, or rebuild, a partnership with the business to drive growth or ensure compliance.

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Informatica Data Transformation is a comprehensive, enterprise-class universal transformation solution for any data type, regardless of format, complexity, or size.

Its embeddable run-time engine brings advanced data transformation capabilities to Powercenter or any infrastructure, solving your enterprise-wide data transformation challenges in a high performance, scalable environment.

Through a single, easy to use interface, users can build transformations for complex XML, JSON, Protobuf, industry formats (SWIFT, SEPA, NACHA, FIX, FpML, etc.), unstructured documents, and even legacy data formats like COBOL copybooks.

Resource Links Data Transformation Website

Data Transformation Data Sheet

Banking Customer Case Study

Insurance Customer Case Study

Informatica Data Transformation

Available Versions

Features Data

Transformation

PowerCenter

Advanced

XML Option

PowerCenter

Unstructured

Data Option

Unstructured

Document

Transformation

Yes No Yes

JSON Yes No Yes

Complex

Hierarchical XML

Transformation

Yes Yes No

Industry Format

Libraries Yes No No

Embeddable Yes Yes Yes