SERVICES

Here is a list of our service offerings -

Data Integration

We use Talend as our primary integration tool. Our core development team is very strong in Java so Talend is a very natural fit for us. Talend offers a very open and scalable platform that easily integrate, profile and cleanse all the data. Simple graphical tools and wizards can get our clients up and running with native code generation amd continous develivery capability that streamline development.

 

Some of the benefits of using talend are - 

  • Allows us to develop 10 times faster - hence shortening the deployment time frame for our solutions. 

  • Industry leading functionality at 1/5th the price point - allows us to provide cost effective solutions for our clients.

  • Improved data accuracy through data de-duplication, validation, standardization and enrichment.

  • Big Data Integration allows for connectivity to all new big data platforms to include Hadoop, spark, Kafka nd other newer ones on the horizon.

  • Cloud integration provides instant, elastic and secure capacity as we can shift workloads between ground and the cloud, increasing agility and lowering operational costs. 

  • Talend's data fabric allows us to deliver data-driven insights through a common set of powerful tools for real-time or batch processing, data or application integration, big data or master data management, on-premises or cloud deployment for our clients.

  • Talend's ESB combines an innovative, eclispse based tooling environment with messaging, intelligent routing and data transformation. The talend environment enables developers to easily build reliable, scalable and secure REST, web and data services to quickly integrate hetrogenous IT environments, Both on premises and on the cloud. 

 

Master Data Management

Master Data Management (MDM) encompasses the processes, governance, tools and standards that are involved in centralizing any amount of non-transactional data into one system. This creates only one master copy of the data item which is then synchronized to all applications using the data.  The mastered data can include reference data as well as analytical data.

 

Master Data Management tools supports MDM by standardizing the data, removing duplicates and incorporating rules and best practices to eliminate incorrect data from entering the system. Data Governance involves defining how the data should look and identifying errors and Data Stewardship involves understanding the data from the business side and correcting errors.

MDM tools enable built-in data integration, data quality and data stewardship enables easier maintenance of real time data as well as data lineage and history for audit purposes. The centralized data point of reference enables you to create and share standardized data information across platforms and enables your company to master data into insights and actions in a significantly shorter amount of time than more traditional data management tools.

MDM

Data Quality

Data Quality involves standardization and enrichment of data and is essential to the reliability of the data analytics that drives effective business intelligence decisions. Data quality encompasses the accuracy, completeness, consistency across data sources and relevance of data. Data quality is effected by the way data is entered, stored and managed.  Specific requirements must be defined for cleaning and standardizing the data. Rules are established for certifying the quality of the data and these rules are integrated into an existing workflow to both test and allow for exception handling.

 

Poor Data Quality is one of the biggest barriers to effective business intelligence deployments. Our Data Quality services provide a complete solution to identify, define and cleanse data while monitoring data quality over time regardless of the amount or size of the data. Data de-duplication, standardization and validation enables clean and high-quality data for access, reporting and analytics. Because rules, needs and data sources change and are added continuously our data quality services are successful because they are scalable and able to address new requirements.

 

Project Management

Our Project Management  team uses Agile Methodology and our process is carefully structured, technically drive and customized to the individual needs of a company. Our experienced Project Managers utilize 15 minute SCRUM meetings on a daily or multiple time per week basis. SCRUM methodology is a more holistic and adaptable approach than traditional project management and is designed to prepare for the necessity of change and unpredictability that occurs in real world scenarios. SCRUM methodology provides regular direct communication about the project between team members and focuses on optimizing the team's ability to provide deliverables by enabling the team work together and adapt to solve problems and address needs. A SCRUM team typically consists of a SCRUM Master, Product Owner and Team members.

 

We follow best practices and start the project development process by working one on one with our clients to define project goals and create a project charter. We listen to our clients needs and identify barriers, strengths and solutions during the project planning phase. To reduce possible future confusion and workflow impediments we create and finalize a clear project definition, scope, tasks and project plan with the client.  We also take the time to educate our clients on the process of agile methodology and the time and resources needed to complete their projects. We help our clients understand that ETL implementation is essential because it enables the correction and transformation of raw data. This allows for data to processed, analyzed and interpreted so that companies can make informed business intelligence decisions. More accurate data means more effective Business Intelligence.

 

Platform Migration

We do a lot of platform migration projects. We have ready made components built in and have instant plans for many legacy systems as well as alternate integration platforms. Our process consists of a Business impact analysis, coming up with a clear migration path and strategy,  making sure there is no disruption to existing productions processes and go from current to historical data. We have platform migration SME's in our team who can assist our clients with clear guidance and planning. 

 

Production Support and Maintenance

One of the most important activities that any enterprise looks to achieve is keeping their systems running 24×7, also known as Production Support. Production support and maintenance is an essential part of business efficiency and must be run in an efficient way. At Pacific ERP we build and deploy our own high quality, performance integrated and documented ETL solutions.  We collaborate with members of the design team to architecht, build, test, and deploy an environment that supports a single and centralized version of the truth, actionable results, and flexibility for the future, performance, data quality, and data governance.

 

We take proactive monitoring and corrective steps to prevent issues like not meeting SLA’s (Service Level Agreements).  We also develop automated scripts and build checkpoints into the job stream to minimize our monitoring efforts. This helps to avoid wasted time and conflict caused down the line by issue resolution ticket volume.  Pacific ERP develops our own standard operating procedures (SOP’s) which ensures that maintenance and support is carried out in a planned and ordered manner. Our SOP’s standardize the processes and provide instructions that enable each support team member to perform tasks consistently across the data landscape.