Problem

To keep up with the increasing pace of change and innovation in the industry, companies are turning to the cloud. Often these cloud applications are optimized to address entirely individual business processes or functions. For example, a CRM application targeted at managing the sales process, or an employee performance management application focused on improving the quality of the review process. As your cloud strategy matures, you’ll be managing more and more cloud applications. From its initial popularity in the realm of specialized functions that need the breadth of collaboration and multiple end user devices, Cloud Applications have since moved into mainstream and core business critical functions such as Finance and Supply Chain Management.

Many a times Cloud Transformation and Cloud Integration are thrust upon Organizations, by way of the need to adopt and use data and trends from Social Media. Other times these needs land on your lap by way of Business Acquisitions and Mergers (The Cloud Investments from the other party). Cloud Integration, combined with large volumes of data and Cloud Analytics, drives businesses as they strive for constant growth and ROI. Also software vendors are moving in the direction of offering their new releases on the Cloud and soft pedaling on their on Premise offerings.

These cloud applications often require the same data. The previously mentioned CRM and employee performance review applications both need access to your employees and organizational structure. In the beginning of your cloud journey, building and managing data integration cloud-by- cloud may seem like the right decision. But, as the number of cloud applications in your organization increases, your integration architecture complexity goes up as well. Also, as you copy data to multiple clouds, these clouds can quickly become data silos causing duplication and inconsistencies in your data.

Before you know it, your cloud-by- cloud approach to integration has yielded a data disaster. Making you unable to realize the expected business benefits from your cloud data management strategy, and causing your most critical information to be inconsistent and inaccurate. The longing and wait begins. You look out for Comprehensive and best Application Integration Solutions.

Fortunately Chain-Sys has released its Platform for Data Integration, where cloud to cloud integration and cloud to on Premise Integration are accomplished by quick drag and drop development with no programming needed.

Solution

Adopting Cloud Applications requires careful planning; especially on how you manage your data residing in multiple Cloud and On Premise Applications. Moreover, part of your decision to go to the cloud, means you need to understand how the knowledge captured in the individual Cloud-based and on premise applications are consolidated - to drive actionable insights for competitive advantage.

The Chain-Sys Platform Suite Data Integration Component (appCONNECT™) is the central hub to integrate multiple cloud and on premise applications such as ERPs, CRMs, Project Management, and Human Capital Management. In addition to enterprise class application integration, appCONNECT™ offers an end-to- end data quality engine, and a consolidated data hub to support enterprise analytics and reporting.

appCONNECT™’s hub-and- spoke architecture, integration templates (integration adapters) and drag & drop integrations, mean that you’re up and running at cloud implementation speed allowing your organization to realize the full business value and competitive advantage from your cloud strategy.

200+ End Point Cloud and On Premise Application
3000+ Integration Templates (Adapters)
Built in Data Mart and Visualization
Drag and Drop Integrations
Develop Integrations in minutes
Prevalidations done with the business rules expected by the Target System.
Complete Audit Trail

appCONNECT™ already has connectors for over 200 cloud and on premise applications with more added every week. Our standardized template approach to the integration means that appCONNECT™ can quickly get up and running with full data validation. There are over 1,000 ready-built templates for SAP ECC, SAP S/4HANA, Oracle Fusion/Cloud Applications, Oracle E -Business Suite, JD Edwards, etc. The Chain-Sys platform allows us to add new application integrations and templates as your needs evolve.

You can add/manage business rules and transformation logic using the intuitive wizard based GUI of appCONNECT™, making it simple to manage the enterprise-wide integration strategy as new application versions are implemented or as your organization’s needs evolve.

“Integrating data sources into a single system will improve the 'clock speed' for innovation”

-McKinsey & Company

Just integrating cloud and on premise applications doesn’t fully deliver on the power of the cloud. Companies expect the data stored in these cloud applications to generate actionable information to improve operations and competitiveness. To fulfill this expectation, pivoting to the cloud cannot ignore data quality.

appCONNECT™ includes a data quality engine that provides the governance rules to ensure that your data remains free of duplicates and the information remains consistent even as the data spreads across multiple Cloud and on premise applications. Additionally, the data quality engine also allows you to connect to third party data sources to expand and enrich the data you maintain.

Data Quality Engine Features:

  • Data Profiling – Quickly understand the level of data quality and the business benefits.
  • Data De-Duplication – Ensure there is a “single source of truth” regardless of how many systems use the data.
  • Data Cleansing – Build governance rules to ensure accuracy and clarity of data across multiple systems.
  • Data Consolidation – Build that single hub containing critical information.
  • Data Enrichment – Improve quality of the data by adding additional information that the business demands.

75% of the Project Failures Are Due To Data Migration / Data Quality Issues

-Oracle Corporation

  • Cloud-based data integration, quality management, reporting and analytics hub for cloud, ground, and mobile applications
  • 200+ connectors for endpoint applications
  • Specialized connectors for various Industry Verticals
  • Over 1,000 templates for SAP ECC, SAP S/4HANA, Oracle E-Business Suite, Fusion, JD Edwards etc.
  • Enterprise data quality engine ensuring consistent information across all systems eliminating potential data silos
  • Built-in best practices for on-going data governance
  • Data hub, consolidating cloud and ground applications for reporting and analytics
  • Mature reconciliation engine ensuring the accuracy of data movements between applications
  • No-coding approach to cloud integration and data quality management
  • Modular design to allow usage of all or specific components of the solution

Cloud growth will continue; 85 percent of respondents expect the number of cloud services they personally use at work to increase over the next few years.

-Gartner 2015

Eliminating data silos and safeguarding data quality is necessary to ensure your business processes to run smoothly. But, real business value is achieved when the knowledge from Cloud-based and on premise applications are consolidated to drive analytics, to improve operations and provide insights for competitive advantage.

appCONNECT™ includes a consolidated data hub. It is the hub that contains the single source of truth for all of your cloud and on premise applications. You can use Chain-Sys’ business intelligence and reporting tools, or tools of your choice. The combined knowledge contained in the data hub can be mined to deliver the competitive advantage your organization is expecting from its cloud strategy.

In addition to having tools that truly deliver on the power of the Cloud, Chain-Sys has experts to get you connected quickly and aligned to best practices. Our experts focus on data integration, data quality, and analytics. Their experience can be leveraged to speed your cloud adoption while simultaneously ensuring that there are no new data silos.