IBM Cloud Pak for Data is the foundation for your Data Fabric

With IBM Cloud Pak for Data®, organizations can experience the benefits of a Data Fabric in a platform solution that makes all data available for AI and analytics. It allows to connect the right data, at the right time, to the right people and everywhere!

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Improving the use of data to make better decisions

IBM Cloud Pak for Data is a unified platform that delivers a Data Fabric to connect and access siloed data on premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse.

This platform allows you to: hyper-automate data discovery, data governance, and data consumption in a hybrid and multicloud data landscape.

Did you know that unused data is the biggest barrier to scaling AI-powered decision-making?

 

Advantages of IBM Cloud Pak for Data

Faster access to data

Access distributed data 8 times faster and at half the cost, from cloud sources or on-premises.

Increased Productivity

Reduce ETL requests by 25 – 65% so data engineers can spend more time on higher value work.

Cost Savings

Eliminate manual cataloging to cut costs.

One platform, many uses

Data Integration

Having integrated data enables you to:

  • deliver reliable data readily consumable and governed data to your teams anytime and anywhere
  • easily access data across business silos, on premises and in clouds
  • democratize data access
  • make trusted data available

 

Data Governance

Having a robust data governance foundation enables you to automate the governance, protection and security of your data with active metadata. It allows you to:

  • Drive consistent data understanding: gain a better understanding of data while simplifying discovery, curation and access to governed data.
  • Manage policies and rules: manage data policies, address regulatory compliance, promote audit readiness and maintain customer trust.
  • Automate data privacy and security at scale: Identify sensitive data and enforce data protection rules dynamically to control access to data assets across key endpoints within and outside the IBM platform.
  • Improve data quality: address data quality issues with capabilities for profiling, cleansing, monitoring, matching, and enriching data.

Data governance is essential to an organization’s overall strategy for data management and as part of a complete DataOps practice. It helps you to know what data you have, where that data resides and how that data can be used while adhering to data privacy restrictions.

To learn more about how Necando can help you implement a data governance program, click here.

 

With Necando’s  expertise and  IBM Cloud Pak for Data bring your data governance strategy to the level required!

Data Privacy and compliance

You can identify sensitive data and enforce data protection rules dynamically to reduce risk of regulatory violations. It enable users of all skill levels to access trusted data with tailored interfaces (Code, Canvas, No Code).

Data Catalog

Yo can simplify self-service data access with a data catalog that acts as the system of record for governed data and analytics assets.

Enhance data usage

Multicloud data access and integration

Access and unify data spread accross distributed stores and clouds without data movement or replication.

Intelligent knowledge catalogue

Automate data discovery, categorization and enrichment to rapidly provide business-ready to users with IBM Watson® Knowledge Catalog.

Pervasive data privacy and security

Seamlessly enforce universal data and usage policies to establish trusted data pipelines that enable innovation while reducing risk.

Modern cloud data warehouse

Supercharge analytics workloads with IBM Netezza® Performance Server, a high performance data warehouse with independent scaling of compute and storage.

Case Studies

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