by | | Data Integration, Data Migration, dataZap
Organizations are producing more and more data everyday, which has propelled the use of Big Data technologies. In today’s online business realm, data is the crucial factor companies rely on for high-end data analytics and decision-making.
What is Big Data?
According to Oracle – “Big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.”
Here are some mind-boggling facts about big data.
- The big data market is expected to grow to $103 billion by 2027. – Statista
- Data quality costs the US economy up to $3.1 trillion yearly. – HBR
- 2% of businesses are investing in big data and AI. – Bloomberg
- 95% of businesses say they need to manage unstructured data. – Forbes
- Over the next five years up to 2025, global data creation is projected to grow to more than 180 zettabytes. – Statista
From the above statistics you can see that companies are willing to spend a tremendous amounts of time and money on Big Data to get valuable insights that can help enhance customer experience. But The quality of data and timely availability of data is crucial for any big data investment to succeed. This is where data integration plays a vital role.
Data Integration
Data integration combines data collected from various platforms to increase its value for your company. It enables your staff to collaborate more effectively and provide more for your clients. You cannot access the data collected in one system in another without data integration.
What are the business benefits of Data Integration?
Here are 4 benefits based on the projects we have worked on with various clients.
Increase the ROI of your CRM
Our client a top construction company in Minneapolis had acquired Procore (A cloud solution for construction project software) which they wanted to integrate with Oracle EBS. The master data was maintained in Oracle and needed to integrate data like Employee (team members), Vendors, Cost Issues, Projects and Commitments (contracts) with Procore to perform Change Events, which was the core module used by the business. There was compatibility issues between Procore and Oracle due to which the team had to manually enter data into both softwares which led to duplications.
With dataZap we were able to solve all the above mentioned problems and saw an increase in data quality of 30% and saved close to $100,000 annually.
Clean data is the backbone of your organization
Clean data is the basis for analytics and the decisions that management take. Ideally companies want their data to be clean but that is not the case. One of our clients faced a similar problem where their master data was not clean. They wanted a solution to first clean their data and ensure the data stays clean.
Enter Chainsys, we first used dataZen our Master Data management tool and then introduced dataZap which comes with prevalidation to ensure only clean data in uploaded into the master data.
Operational excellence and improved competitiveness
Companies will have data in multiple formats and in different places. It also will have large amounts of transactions happening. In many companies there is a time delay in integrating data from various sources. Such problem was faced a client of ours who is a leading lens manufacturer. They have Point-Of-Sale (POS) solutions in 78 locations with 10,000 transactions happening everyday. It was taking them 24 to 48 hrs to to integrate all this data into a single source.
dataZap was implemented as an enterprise-wide integration platform that can ingest and store this business knowledge to enable the integrations. The client saw immediate results where
- Overall processing time reduced by 75% leading to real-time integration.
- Inbuilt business process validations that increased data quality by 20%
- Inbuilt Error Handling and Reprocess the failure records
- Automated Data Integration without manual intervention, which reduced dual entry and errors
Improved decision making
The reason for companies to spend a lot of money on big data and analytics to make the right decisions. But to make the right decisions they need quality data. One can regularly reconcile their master data but new data coming in will reduce the accuracy of any analytics program setup in the organization. One of our clients was doing a complete digital transformation moving from on premise to Oracle cloud. Businesses wanted all their current analytical reporting to continue without any hindrance and invest in a technology that will cater to their future needs.
Chainsys implemented dataZap and took a target for Data quality at 99% clean. Quality processes were instituted to achieve the same. Our data quality engine ensured total profiling and validation of all the data. The profiling process was repeated until data quality reached 99%.
Next step to ensure your big data project is a success
Now you know the reason “why data integration is crucial”. Do you want to learn more about the particular advantages of data integration for your company?
Get in touch
by | | Uncategorized
Are you struggling to achieve maximum efficiency and profitability in your business operations? Have you considered using SAP S4Hana to streamline your processes and enhance your bottom line? In this article, we will explore the benefits of using SAP S4Hana and how it can help your organization achieve optimal efficiency and profitability.
Introduction
SAP S4Hana is a powerful enterprise resource planning (ERP) software solution that can help organizations of all sizes optimize their operations. It provides real-time data and analytics, enabling businesses to make informed decisions quickly and effectively. By leveraging the power of SAP S4Hana, organizations can streamline their processes, reduce costs, and increase their profitability.
Understanding SAP S4Hana
SAP S4Hana is an intelligent ERP system that utilizes in-memory computing to process data in real-time. It provides businesses with a single source of truth for all their data, enabling them to make informed decisions quickly. With SAP S4Hana, organizations can streamline their operations, automate processes, and optimize their resources.
Features of SAP S4Hana
Some of the key features of SAP S4Hana include:
By leveraging these features, organizations can improve their operational efficiency, reduce errors, and increase their profitability.
Benefits of Using SAP S4Hana
There are numerous benefits of using SAP S4Hana to maximize efficiency and profitability in your business operations. Let’s take a closer look at some of these benefits.
Enhanced Operational Efficiency
SAP S4Hana provides organizations with real-time data and analytics, enabling them to identify inefficiencies and opportunities for improvement quickly. It streamlines processes, automates repetitive tasks, and reduces errors, enabling organizations to operate more efficiently and effectively.
Reduced Costs
By streamlining processes and automating tasks, SAP S4Hana can help organizations reduce their operational costs. It provides insights into where costs can be cut, enabling organizations to make data-driven decisions that lead to cost savings.
Improved Decision Making
SAP S4Hana provides businesses with real-time data and analytics, enabling them to make informed decisions quickly. It provides a single source of truth for all data, eliminating the need for manual data entry and reducing errors. This real-time data enables organizations to identify trends and make informed decisions based on accurate information.
Increased Profitability
By optimizing processes, reducing costs, and improving decision-making, SAP S4Hana can help organizations increase their profitability. It enables businesses to operate more efficiently, freeing up resources that can be used to invest in growth opportunities.
How to Maximize Efficiency and Profitability with SAP S4HANA
To maximize efficiency and profitability with SAP S4Hana, there are several key factors to consider. These include:
Understanding Your Business Processes
Before implementing SAP S4Hana, it is essential to understand your organization’s existing processes and workflows. This understanding will enable you to identify areas for improvement and ensure that SAP S4Hana is configured to meet your specific business needs.
Planning for Change
Implementing SAP S4Hana can be a significant change for your organization. It is essential to plan for this change carefully and ensure that all stakeholders are involved in the process. This will help to minimize resistance to change and ensure that everyone is on board with the new system.
Ensuring Data Accuracy
SAP S4Hana relies on accurate data to function correctly. It is essential to ensure that all data is accurate and up-to-date before migrating it to SAP S4Hana. This will help to ensure that the system is functioning correctly and providing you with reliable insights and analytics.
Customizing SAP S4Hana
SAP S4Hana is a highly configurable system that can be customized to meet your organization’s specific needs. It is essential to work with an experienced SAP partner who can help you configure SAP S4Hana to meet your organization’s unique requirements.
User Adoption
SAP S4Hana is a powerful system, but its effectiveness depends on user adoption. It is essential to train your employees on how to use the system effectively and ensure that they are comfortable with the new processes and workflows.
Conclusion
Maximizing efficiency and profitability is critical for the success of any organization. By leveraging the power of SAP S4Hana, organizations can streamline their processes, reduce costs, and increase profitability. However, it is essential to understand your organization’s existing processes and workflows, plan for change, ensure data accuracy, customize SAP S4Hana, and focus on user adoption to achieve maximum benefits.
If you are interested in learning more about how SAP S4Hana can help your organization maximize efficiency and profitability, contact us today to schedule a consultation.
by | | Uncategorized
In recent years, there has been a rise in the use of low-code and no-code platforms in the software development industry. The aim of these two is to simplify and speed up the process of application development and act as a replacement for traditional software development!
But how?
In this blog we will have a closer look into both, their future, why it is considered to be a replacement for traditional development techniques, what’s the difference and how Smart App Builder, an automated low / no Code application builder platform offered by ChainSys helps in building web and mobile application with just drag-and-drop app builder.
What is a Low-Code Platform?
A low-code platform is a software development platform that provides a visual interface for creating applications. A visual interface makes it easier for developers to create complex applications without having to write extensive amounts of code.
Thanks to these platforms as it comes with pre-built components and templates that can be customized according to the needs of the application. Thus, aims to speed up the application development process and make it more accessible to a wider range of people.
What is a No-Code Platform?
A No-code platform is a software development platform that allows users to create applications without any coding skills or knowledge. With a drag-and-drop interface for building applications, it allows non-technical users to create their own complete applications by reducing the need to write any code and it is suitable for applications that do not require any customization.
The Future of App Development:
IDC estimates there will be a 4.0 million-person shortfall of full-time developers in 2025. This means that the labour force for full-time developers will operate at 84.9% capacity in 2025. However, there are still not enough new programmers available to help with the creation of those programmes.
But According to Gartner’s projections, the global market for low-code development technologies will reach $26.9 billion in 2023, and Low-code application platforms are projected to be the largest component of the low-code development technology market, growing 25% to reach nearly $10 billion in 2023.
Why are Low Code and No Code considered to be a replacement for Traditional Software Development?
Improved Development Speed: Low code and No code development enables the user to rapidly and easily create applications without having to write a significant amount of code. This means that compared to using traditional development techniques, apps may be created and deployed much more quickly.
Reduced Cost: By enabling non-technical users to construct applications without the need to hire expensive developers, these two development platforms lowers the cost of software development.
Enhanced Agility: Low code and No code development enables organizations to be more agile and respond more quickly to changing business requirements. This is because applications can be developed and modified quickly and easily, without having to wait for developers to write custom code.
Improved Teamwork: Through the use of Low code and No code development, business users and developers may work more closely together to create applications that are both better designed and easier to use.
Easier maintenance: Low code and No code development can simplify the maintenance of applications by enabling non-technical users to modify and update applications without requiring coding knowledge.
Given the above, it is clear that both are crucial and serve as a valid alternative to traditional software development, offering numerous important benefits that much outweigh those of the other alternatives. But even though both have significant characteristics there are some differences let’s look into it
The Difference?
Why use the ChainSys Platform for Low Code/No Code development?
With Smart App Builder, we can create rich customer experiences, enabling employees to collaborate and work more productively, connect and integrate with Enterprise Applications, and deploy them to any browser or mobile platform. Using a no-code platform, it’s easy to use this drag-and-drop app builder to get things done. Enjoy rapid application development with our low-code platforms.
Benefits of using Smart App Builder:
- Fast and economical development using drag-and-drop features.
- The application built would support distributed computing, and scaling up both horizontally and vertically.
- Applications created can work on all platforms including Desktops, Tablets, and Mobile Phones.
- The Mobile Application can work in offline mode as well.
- Smooth Implementation and Can handle a high volume of data
- Audit trail on all columns enabled.
- Applications created can be deployed in AWS, Azure, or any other cloud data center. The Smart App Builder itself runs on Azure.
In conclusion, the goal of both low-code and no-code platforms is to streamline the software development process and increase accessibility for a larger range of users. Although they have comparable advantages, they are not equivalent, and the choice between the two will depend on the particular requirements of the application. In the end, the decision between low-code and no-code platforms will be based on the developer’s level of coding proficiency, the application’s complexity, and the project’s particular requirements. On the other hand, ChainSys smart app builder provides both low and no code in a single platform and acts as a one-stop solution for app development.
by | | Data Integration, Data Migration, dataZap, Master Data Management
Data is information such as numbers and facts that are used to analyze and contribute to decision-making. It is considered to be a precious asset for organizations today, but it can also be a dangerous asset when it is managed in the wrong way. The way of managing and governing data may lead to a huge success or massive breakdown for the organization. Data is like a child, and its future solely depends on how it is nurtured. Data Governance and Data Management act as parental figures to data. In this blog, we will discuss in detail the difference between data governance and data management, and how dataZen, a part of the smart data platform offered by ChainSys helps to leverage data to its fullest potential.
Understanding Data Governance
Data governance refers to the set of policies, procedures, and standards that guide the management of data assets. It manages the actions and processes people must follow. It also monitors the creation of data dictionaries to make sure everyone has an understanding of the data and ensures that various departments across the organization use the data in a consistent way.
- Policies and Standards: Establishing guidelines for data usage, security, and compliance.
- Data Stewardship: Assigning roles and responsibilities for data oversight.
- Data Quality Management: ensuring the reliability, consistency, and accuracy of data.
- Compliance and Security: Ensuring data practices comply with legal and regulatory requirements.
- Data Catalog: Providing a comprehensive inventory of data assets and their metadata.
Why is Data Governance Necessary?
Many organizations today are expanding quickly, and every day, systems perform a huge number of transactions and generate enormous volumes of new data. There is always a possibility of physically or digitally entering wrong or duplicate data, which can result in a big data failure while decision-making. With the use of dataZen for data governance we can avoid these situations because its goal is to ensure that data is accurate, complete, and secure, and also verify whether it meets the needs of the organization. dataZen takes control of the overall management of data assets within an organization by defining the rules and regulations around data access, usage, and sharing.
Understanding Data Management
Data management refers to the processes and tools that are used to acquire, store, organize, maintain, and analyze data. Data Management ensures that the data is accurate and consistent, and available for use when needed. It also ensures that an organization is using the most updated form of data available.
- Data Integration: Combining data from different sources into a unified view.
- Data Storage: Efficiently storing data in databases, data warehouses, or data lakes.
- Data Security: Protecting data from unauthorized access and breaches.
- Data Archiving: Preserving data for long-term storage and future reference.
- Data Migration: Moving data between systems, applications, or storage environments.
Why is Data Management Necessary?
To develop effective business strategies every organization completely depends on data. An organization’s progress is significantly influenced by relevant, accurate, and usable data. It can become useless if not well managed. But dataZen for data management can guarantee the accuracy, availability, and accessibility of data to be processed and analyzed, therefore helping in making better-educated business decisions and gaining an in-depth understanding of customer behavior, trends, and patterns. To get the most out of the data they have access to, it has become crucial for enterprises to adopt data management. The benefits of dataZen for data management are listed below
The Relationship Between Data Governance and Data Management
To get the most useful business insights from data, data governance, and data management must be used in tandem. Without data governance, data management is like a building without an architectural plan. Data governance, on the other hand, is just paperwork without management.
The difference between data management and data governance is
- Data governance is the overall management of data assets within an organization whereas data management refers to the operational activities involved in managing data.
- Data governance involves defining policies, procedures, and standards for how data is collected, stored, processed, and used while data management includes the processes and tools used to collect, store, process, and analyze data
- Data governance ensures that data is consistent, reliable, and trustworthy while data management ensures that data is available and usable for the people who need it
- Data governance verifies the data used is consistent and used across the organization whereas data management verifies that the data is available in the right format, at the right time, and in the right place.
- Data governance includes data dictionaries and data catalogs whereas data management is more concerned with data storage, processing, and exploration.
- dataZen is a master data management tool that enhances data quality and tightens security within the enterprise. It has over 7000+ master data templates, for over 200+ endpoints.
- Proper “System of Record” for master data, provides a Centralized data hub for consolidated reporting and querying of master data.
- It has preconfigured workflows supporting data governance and approval processes, and does data encryption and masking to keep data safe while at rest and in motion. This creates a single source of truth.
In conclusion, Data governance and data management are two distinct aspects of data management. data governance is focused on defining policies and establishing a framework for managing data, data management is focused on the day-to-day operational activities involved in managing data.
Even though both have different characteristics, both play a vital role in the effective management of organizational data, and they complement each other in ensuring that data is managed effectively throughout its lifecycle. With help of dataZen, you can fix fundamental issues with master data management such as duplicates, fragmentation, and inconsistency across systems, and also establishes master data governance rules to define a common data model, and master / transactional data creation using a workflow which creates a huge impact for a data.
by | | Data Integration, Data Migration, dataZap, dataZen, dataZense, Master Data Management
How Data Management Services Can Help Your Business?
To run an organization successfully, every business needs data. Massive amounts of data of various kinds are being gathered and stored by businesses, but managing and analyzing this data could be difficult. In this case, data management services can be useful and also considered to be a crucial component of corporate operations in the current digital era. We’ll explore more about what data management services are and ChainSys, a data management firm, offers a variety of data management services that help your business in this blog.
What are data management services?
Data management services refer to a collection of procedures and tools for gathering, archiving, organizing, securing, and maintaining data across the course of its lifecycle. It includes a broad variety of operations, such as data integration, data governance, data migration, data quality management, data analytics, data security, and data storage.
Let’s take a closer look at various data management services:
The process of merging data from various sources into a single, unified view is known as data integration. dataZap, Chainsys’s integration platform helps you integrate and transform data from any source. No coding is required and high volume integrations of up to 1 million records can be done in an hour. It also keeps data clean by validating & cleansing during data integration.
Data governance refers to the set of policies, procedures, and standards that guide the management of data assets. It manages the actions and processes people must follow. With dataZen it is an easy-to-build workflow with data governance tools and it monitors the creation of data dictionaries to make sure everyone has an understanding of the data, to identify, it collaborates with various departments across the organization to confirm that the data is used consistently across the organization.
Transferring existing historical data to new storagee, a system, or a file format is known as data migration. While the process may sound quite simple, it requires a change in storage, a database, or an application, but ChainSys approaches complex data migration to various ERP and Enterprise Application needs with simplicity and robustness with its ready-to-use 7000+ Data Adapters for Data Extraction, Data Loading, and Data Mappings from Source to target applications.
Data quality management (DQM), a business strategy, aims to enhance the data quality metrics that are most important to an enterprise company, by bringing together the necessary people, procedures, and technologies. ChainSys’s cloud-based dataZen data quality management platform enables businesses to identify inconsistent and erroneous data across their applications and provides you with data cleansing tools as well as the ability to de-duplicate data.
Data analytics refers to a collection of quantitative and qualitative methods for extracting insights from data. With dataZense a holistic data and analytics platform provides rapid results by following the most efficient processes to ensure governance and quality to bring forth a single source of truth for information at all times, thus driving sustainable decision-making across businesses.
Data security is the process of defending your information against unauthorized access or usage that can expose, delete, or corrupt that information. Using dataZense for Data Security, you can avoid internal and external data breaches and have simple sensitive data management by providing comprehensive data security management, data masking, and data scrambling solutions for many applications.
In what ways the above data management services can benefit your business?
To conclude, data management services can help businesses in many ways, from improving decision-making to reducing costs and gaining a competitive advantage. Whether it’s a small business or a large enterprise struggling to manage data, ChainSys smart data platform would be a great investment as it helps in maximizing the value of data.
