Usher in Enterprise wide agility with an end to end Data Management Solution
Data is at the heart of digital businesses & key decision making. But in the times of Big data, gaining access to quality data that can unlock doors to advanced analytics can be a challenging task. Data obscurity accompanied by complex & evolving integration, governance & security related issues complicate Data exploration & inhibit organizations from leveraging the complete value of their data to their advantage.
Common Challenges with Data Management:
- Data Protection & Compliance: Increase in regulatory compliance on customer data has contributed to extra scrutiny on data collection and usage. Organizations will need to facilitate stronger consumer data protection needs through well formulated access protocols & security policies
- Big Data Management: Dynamically adapting to the ever rising complexity of big data management & the high volume of data coming from an increasing number of data sources
- Data Governance: With an increasing number of organizations moving from on-premise to cloud, data governance is a key priority for organizations due to regulations surrounding data use. Metadata & workflow management is crucial to ensure information can be accessed across an organization in a unified, secure & governed manner that minimizes risk
- Traditional Data Storage Methods: When traditional data storage options like data lakes/ warehouses that are used to gather and store large quantities of data from diverse sources combine both unstructured and structured data, errors resulting from missing data, inconsistent data, logic conflicts, and duplicates data all result in complex data quality challenges
- Business Intelligence & Analytics: In today’s world, addressing the growing and sophisticated data needs of companies with maturing analytic ecosystems is growing all the more challenging due to constantly changing data landscape. Harnessing the power and efficiency of analytics depends on how adaptively organizations are able to take the help of emerging technologies such as AI, ML & IoT in fueling their Data Management Strategy.
Breaking down an ideal Data Management Solution:
An end to end Data Management solution is necessary in order to create an intelligent framework for seamless management of information across all the phases of its existence across an organization.
Such a solution enables consistent accessibility, delivery, governance, and security of data that meet an organization’s requirements using capabilities such as master data management, data virtualization, data catalog, and self-service data preparation and wrangling.
Benefits of an end to end Data Management solution:
- Data Unification: Provides a 360 view on disparate data from different sources so that different users & departments can use a single reliable view on data that integrates enterprise wide changes
- Data Quality: Helps in effective management of data quality to create a trusted, clean, reliable, complete, and up-to-date single source of information to support your digital journey
- Centralized Governance: Achieve data governance through secured data access along with clear & transparent communication hierarchies
- Cost & Complexity Reduction: Reduce data complexity and save costs by reducing the complexity of physical data consolidation & cleansing
- Enhanced Business Intelligence: Data Structures help in responding faster to ever changing business requirements & provide analytics access without the complexity of creating balkanized data warehouses
Key Components of TIBCO’s end to end data management solution:
TIBCO’s cutting edge solutions have been recognized for their industry leadership by several Industry analysts such as Gartner & Forrester. TIBCO’s products have been named a leader in the Gartner Magic Quadrant for Master Data Management for the third year in a row and has been validated by Forrester for being a Strong Performer & Technology Leader in Master Data Management.
Business Benefits:
