how to choose a viable data management tool for your organization

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How to Choose a Viable Data Management Tool for your Organization According to the International Data Corporation (IDC), the purpose of data integration is to ensure the consistency of information where there is a logical overlap of information contents of two or more discrete systems. "To achieve a total solution within modern IT environments that are inclusive of relational, non-relational, and semi-structured data repositories on-premises and in the cloud data integration software employs a wide range of technologies. These include, but are not limited to, data connectivity extract, transform, and load (also known as ELT), change data capture (CDC), format and semantic mediation data federation and virtualization, data quality and profiling, master data management, metadata management and self-service data preparation and integration technologies.” - IDC The best way to choose a viable data integrator tool for your organization is not by looking at its features but by evaluating how it suits your business needs. Some of the key things to analyze are: Organization: Company revenues, the business model, number of applications, number of employees, employees with data management and data integration skills. Applications: How many applications does your organization use? Is there an interchange of information between two application such as SharePoint and Salesforce? What is the monthly flow of data? Are there both external and internal flow of data? Percentage of structured, semi-structured and unstructured data? Data Use: Are you looking for Master Data Management (MDM)? Do you want to consolidate the data for easy reference? Are you planning to move to cloud and require easy flow of data between systems? You want to derive some actionable insights from unstructured data and improve the decision-making process? The market is driven by the two most widely used data integration tools Informatica and Oracle Data Integrator (ODI). Many organizations that primarily use Informatica are moving to ODI. This shift from Informatica to ODI is noteworthy as the as ODI applies an innovative ELT (Extract, Load and Transform) methodology and leverages Oracle database for loading and transforming data, thereby eliminating the

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According to the International Data Corporation (IDC), the purpose of data integration is to ensure the consistency of information where there is a logical overlap of information contents of two or more discrete systems.

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Page 1: How to Choose a Viable Data Management Tool for your Organization

How to Choose a Viable Data Management Tool for your Organization

According to the International Data Corporation (IDC), the purpose of data integration is

to ensure the consistency of information where there is a logical overlap of information

contents of two or more discrete systems. "To achieve a total solution within modern IT

environments that are inclusive of relational, non-relational, and semi-structured data

repositories — on-premises and in the cloud — data integration software employs a

wide range of technologies. These include, but are not limited to, data connectivity

extract, transform, and load (also known as ELT), change data capture (CDC), format

and semantic mediation data federation and virtualization, data quality and profiling,

master data management, metadata management and self-service data preparation

and integration technologies.” - IDC

The best way to choose a viable data integrator tool for your organization is not by

looking at its features but by evaluating how it suits your business needs. Some of the

key things to analyze are:

Organization: Company revenues, the business model, number of applications,

number of employees, employees with data management and data integration skills.

Applications: How many applications does your organization use? Is there an

interchange of information between two application such as SharePoint and Salesforce?

What is the monthly flow of data? Are there both external and internal flow of data?

Percentage of structured, semi-structured and unstructured data?

Data Use: Are you looking for Master Data Management (MDM)? Do you want to

consolidate the data for easy reference? Are you planning to move to cloud and require

easy flow of data between systems? You want to derive some actionable insights from

unstructured data and improve the decision-making process?

The market is driven by the two most widely used data integration tools Informatica

and Oracle Data Integrator (ODI). Many organizations that primarily

use Informatica are moving to ODI. This shift from Informatica to ODI is noteworthy as

the as ODI applies an innovative ELT (Extract, Load and Transform) methodology and

leverages Oracle database for loading and transforming data, thereby eliminating the

Page 2: How to Choose a Viable Data Management Tool for your Organization

need to have a standalone ELT server center. ODI is extremely helpful for large

enterprises that have intricate and multiple data integration needs. It also addresses the

data management and data integration concerns of SMBs and and does not require the

use any other Oracle products. ODI is compatible with Oracle GoldenGate, Oracle

Fusion Middleware, Oracle Database, Oracle Enterprise Data Quality, Exadata and

Oracle Big Data Appliance and others.

The latest version of ODI works well with Big Data technologies by including standards

that are compatible with Hadoop. It also supports Sparks Streaming facilitating Big Data

configuration without writing a single code. ELT provides a flexible architecture for

optimized performance.

The Benefits ELT Methodology:

• Leverages set-based transformations

• Improves performance for loading,

• Eliminates network hop and centralized ETL processing

• Takes advantage of existing infrastructure: hardware and software

The Benefits of using ODI:

• ELT technology coupled with Oracle database accelerates data processing and data

transformation

• Higher efficiency levels in structuring complex data

• Compatible with latest Business Intelligence (BI) applications

• Single source of support

Apart from the above benefits, Oracle Cloud Integrator Cloud Services comes with

the following value adds:

Accelerated Analytics

• Deploy ODI in the Oracle Public Cloud and execute E-LT workloads into Oracle

Platform as a Service

Page 3: How to Choose a Viable Data Management Tool for your Organization

• Pushdown processing is best for the cloud – high performance ETL with less data

movement

Lower Development Costs

• Native integration with Oracle Database Cloud Service, Exadata Cloud Service, Big

Data Cloud Service and Java Cloud Service

• Reduced infrastructure and maintenance costs

Powerful Hybrid Cloud Solution

• Subscribe to ODI using monthly subscription

• Leverage hybrid deployments with ODI running on-premises to move data into OPC

However, migrating from Infa to ODI comes with its own set of challenges. First key

challenge is the cost of manually migrating the data in Informatica to ODI. It demands

full-proof explanation for justifying the spend and successfully convincing your

stakeholders. Second crucial business challenge is identifying, sorting, arranging,

processing and transforming data that is correct, relevant and fits your daily operational

needs.

The Jade Global InfatoODI tool significantly reduces your design and development time,

leads to faster implementation, accelerates productivity and de-risks the process of data

migration. The tool converts Infa mappings to ODI packages, supports single or

bulk Infa mapping conversion, saves significant analysis effort and provides error

handling capabilities. One of Jade Global’s clients experienced over 90 percent

improvement in quality using Jade Global’s InfatoODI migration tool. Below you can

see how manual versus automated data validation using InfatoODI can lead to

significant cost savings and reduce manual effort, project delivery timelines, and

conversion costs:

Page 4: How to Choose a Viable Data Management Tool for your Organization

Here is a Case Study of one of Jade Global's customers, Willis Towers Watson:

London-based Willis Group Holdings PLC and Arlington based Towers Watson merged

to form Willis Towers Watson in the year 2016. The merger required flow of enormous

amount of data onto the Towers Watson Oracle EBS system. After initial investigation,

the companies discovered that their OBI application required an upgrade. A detailed

assessment by their internal IT team highlighted that it would require at least 13 months

to achieve the desired upgrade. Using Jade Global's Informatica to Oracle Data

Integrator conversion tool (InfatoODI) accelerated the migration process, reduced the

implementation time and increased the speed of project execution by 63%. Jade’s

Global Delivery Model (GDM) ensured on-time project delivery as part of a Fixed Price

engagement. Here is what Tommy Walter, Director, Enterprise Reporting, Willis Towers

Watson had to say:

“Essential to the success of the project has been the speed and quality of the ETL conversion work, and Jade Global rapidly put governance processes in place to provide us with the visibility and confidence as the project progressed. Where we have hit inevitable issues, Jade Global has quickly applied additional resources to ensure we stick to schedule”

Would you like to know how Jade Global achieved this feat? Read the complete

success story here.

Jade Global’s InfatoODI tool provides leverages ODI’s Public SDKs and APIs, moves

applications from INFA 8/9.x to ODI 11g/12c, uses a desktop file to launch the tool and

supports cloud, facilitates user-friendly dashboards. Below is an overview of the tool: