Data integration is critical to helping companies consolidate data into a single, trusted view for analysis and ultimately, to drive business. Your Data integration layer must be trusted common data foundation that delivers business-ready data to fuel a competitive edge and reduce costs and risks.
Modern Data Integration accelerates your projects through automated flow and pipeline creation across distributed data sources. A complete data integration solution delivers data from multiple on-premises and cloud sources to support a business-ready trusted data pipeline for DataOps.
Data consolidation is a process that combines data from multiple systems and stores it in a single location. A very common example of data consolidation is a data warehouse.
Our expert services in enterprise-class data integration platforms will help you extract and consolidate exactly the data you need and ensure the data is fit-for-purpose.
We integrate, cleanse, and manage data across different platforms to produce on-time - clean, trustful and meaningful data for your Analytics solutions.
Data virtualization provides a near real-time unified view of the data in multiple different systems without having to store all of the data in a single location.
It is abstract data access from multiple sources by creating a virtual view for business users who need to access and query data on demand.
Real-time data replication powers the use of real-time information for DataOps by enriching big data systems and mobile applications, even capturing data that is constantly changing.
Whether you are building Operational Data Store or just want to enable real-time reporting for your business users you need a reliable change data capture technology and an experienced partner.
The data fabric is an emerging architecture that aims to address the data challenges arising out of a hybrid data landscape.
Through technologies such as automation and augmentation of integration, federated governance as well as activation of metadata, a data fabric architecture enables dynamic and intelligent data orchestration across a distributed landscape, creating a network of instantly available information to power a business.
It facilitates the use of data as an enterprise asset. A data fabric ensures your various kinds of data can be successfully combined, accessed, and governed both efficiently and effectively.
Some vendors define Data Factory as just another data integration service. Unlike them, our vision for Data Fabric is focused on enabling DataOps teams by building clear automated flow and CI/CD pipeline for all your data projects fully agnostic regarding the platforms of your choice.
Moreover, we strive to focus on team productivity, empower people, and establish the right management frameworks in order to move from project mode into a process of continuous improvement.
Choosing IBS Services for Analytics as partner for your Data projects brings you the following benefits:
- trusted advisor to build strategy with;
- early and visible return on investment;
- user requirements can be reviewed and revisited regularly;
- better control of the project from execution and delivery perspective;
- better financial control of the project.
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Technology is just an enabler. People are the ones who are getting things done.
A straightforward way to promote greater consistency in the development and application of data and information sources is to have common guidance that teams will adopt and then follow. This guidance, including both standard policies and guidelines, will need to be defined, supported, and evolved over time in a collaborative and open manner.
We are building Data Factories.
We are helping organisations to shift from the slow and bureaucratic strategies of traditional Data Management towards the collaborative, streamlined, and quality-driven agile/lean strategies that focus on enabling others rather than controlling them.
Data governance is essential to an organization’s overall strategy for data management and as part of a complete DataOps practice. Data governance practices provide a holistic approach to managing, improving and leveraging data to help you gain insight and build confidence in business decisions and operations while meeting regulatory requirements.
Data Science Factory empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere. Unite teams, automate AI lifecycles and speed time to value with real-time insights, risk scoring or next best offer initiatives.
Using the capabilities of the cloud-native architecture of IBM Cloud Pak for Data platform we deliver a full-featured Data and Analytics solution that combines key capabilities as hybrid data management, unified governance and integration, data science, industry model for Banking and analytics.