Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Hybrid Systems Integrations for Right Sized ERP
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > Hybrid Systems Integrations for Right Sized ERP
Big DataBusiness IntelligenceCloud ComputingCRMData ManagementData Warehousing

Hybrid Systems Integrations for Right Sized ERP

MagicSoftware
MagicSoftware
5 Min Read
Image
SHARE

Image

Often huge ERP systems don’t meet business needs because they are too complex and require too much customization. As a result of having multiple systems, most organizations operate in a “hybrid reality”.

Image

More Read

top big data trends in 2022
5 Current Trends in Big Data for 2022 and Beyond
5 Ways AI Can Help Choose Good SEO Agencies
Infographic: The Relationship between Business Professionals and KPIs
A Decision is a prerequisite for success with predictive analytics
Data Analytics is Fundamental to Next-Gen Marketing for New Businesses

Often huge ERP systems don’t meet business needs because they are too complex and require too much customization. As a result of having multiple systems, most organizations operate in a “hybrid reality”.

Many companies choose to implement specialized packages for their industry or  their region.  In a post-acquisition environment often the parent company’s ERP system isn’t the best-fit for the subsidiaries. For example, a large oil and gas distribution company in Texas uses a co-existence strategy whereby business processes are fully integrated between the SAP system at headquarters  and multiple JD Edwards ERP implementations at its subsidiaries.  Moreover, while many companies are enticed by cloud-based systems, some are trying them on a smaller scale before moving over their entire business.

Organizations need to be prepared with an integration strategy that looks at integration points across ERP, CRM, Warehouse Management, PLM and cloud environments.  The goal is to be able to change processes quickly and cost-effectively while maintaining systems integrity, governance, and compliance; in short to arrive at an ERP solution that is well sized across the enterprise with seamless business processes between divisions.

An integration platform can be the glue that holds applications together and the plumbing that facilitates the free flow of data. For example, middleware can enable data from a Salesforce CRM system to be translated into a format that an Oracle ERP system can use. However, enabling the exchange of data between systems is not enough. In order to make post-modern ERP solutions efficient and effective, middleware platforms need to have the following capabilities built-in:

  • Support for Big Data is needed to manage the huge volumes of data generated, stored and shared in ERP systems. With an In-Memory Data Grid architecture, if a node fails, the management system shifts the processing to a different node, thereby preventing any data loss. When traffic peaks and processing requirements increase, the management system automatically recruits more nodes, adding scale elastically when it’s needed.  

  • Cloud Friendly  is essential since today’s ERP systems use a variety of cloud-based systems, which are often procured on short-term contracts and frequently switched from one supplier to another. An application integration platform should be able to handle multiple clouds architectures and to manage data in this highly dynamic environment.

  • Device Agnostic  allows developers to create a native application from a single source which can present the data in the most natural way based on the user’s device. This can be accomplished by taking the output of the integration flow, and then processing it through a presentation layer which can change the look and feel of the application depending on whether it is a smartphone, tablet, or PC.

  • Secure connections in a predictable manner to other databases, frameworks, applications and endpoints. Certified integration connectors are advisable meaning that that system has been approved and validated by the vendor. In many cases, using an approved integration solution means that your maintenance and support agreements with the vendor will be honored. Using non-vendor-approved integration solutions could leave you without support in case you experience difficulties and the vendor blames the systems integrator.

ERP project size and complexities will always create a risk of increasing project cost overruns and less than optimal results. Having a flexible, scalable, robust integration platform that can work as the engine for right sized ERP can provide the needed flexibility and functionality that can increase the chances for success.


Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Data Analytics Is Reshaping Patient Financing Decisions
How Data Analytics Is Reshaping Patient Financing Decisions
Analytics Big Data Exclusive
AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Simplicity of Virtual Reality Means It’s Closer Than You Think

6 Min Read
big data and SMEs
Big DataBusiness IntelligenceExclusiveKnowledge Management

Big Data and the SME: Prepare to Succeed

5 Min Read
big data in healthcare
AnalyticsBig DataExclusive

Leveraging Big Data and Analytics to Enhance Patient-Centered Care

6 Min Read

Analytics Compentency Center

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?