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Transform structured and unstructured data from different sources into a trusted, unified view available to any system
Why we need modern
Data Integration?
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.
Automate
Data
Delivery
Move
from Batch
to Real-Time
Create AI and
Analytics-Ready
Data
Take a
Centralized
Approach
Build your Data Factory and enable DataOps
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.
We deliver the data how and when it's needed
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.
Win the race with the best team and partner. We are here to keep you in top shape.
By aligning technical priorities with business objectives, we help provide full clarity around data ownership, access, usage, and management
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.
We are serious about Data. So Let's Talk!
Want to learn more?
Build an effective Data Lineage solution
Navigating BCBS 239 Principles and ECB “Guide on effective risk data aggregation and risk reporting” for Data Lineage Requirements with IBM’s Data Lineage Solution (Manta)
Data fabric architecture delivers 3 instant benefits
Integrate and engage all your organization’s data for better business outcomes
Want to learn more about our Data Management practice?
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
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
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.
Analytics-in-a-box for Banking
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.
Learn More