What is a Semantic Data Fabric?
A New Solution To Data Silos
The Challenge: Data Silos Everywhere
Business success depends heavily on the ability to make effective use of data. The first step towards this data-driven culture is data access, but many organizations have data silos that hinder this effort. Siloing data has its advantages and disadvantages. While you can maintain full control over the data and establish your own governance processes, data silos reduce speed, accuracy in reporting and data quality. A data silo owner cannot efficiently handle the full range of contexts that are potentially available to enrich his or her data.
The Need To Overcome Data Silos
Data silos present two primary challenges for enterprises:
- How to deal with existing data silos
- How to avoid creating new data silos
This is especially true when exploring Artificial Intelligence, Machine Learning and other advanced techniques rooted in data management and analysis. Siloed data often leads to re-creating knowledge that already exists but is not accessible; and worse, it can create conflicting data due to inconsistent data standards or methodologies. This leads to unnecessary costs and potential inaccuracy. Migrating and standardizing data represents primarily cost in the mechanical effort required, but also requires standard definitions and methodologies to be accurate.
A Solution To Silos
The ultimate goal is to unify unstructured, semi-structured and structured data to make all that available as if it were one database. Our approach combines the respective advantages of data lakes, data warehouses, and cloud-native data catalogs and complements them with the advanced linking methods and text mining facilities that Semantic Graph Technologies bring with them.
Implementing data catalogs without a strategic plan to link them to broader metadata management needs will lead to metadata silos, making them difficult to effectively manage and integrate in the longer term.
Data.world Cloud-Native Data Catalog + PoolParty Semantic Suite
The Benefit: Analytics Over Connected Metadata in a Knowledge Graph
PoolParty and data.world’s seamless integration reduces some of that complexity, offering a fast route to deploy two critical components of your data management strategy. With pre-built integration points, businesses can get started fast without heavy IT bottlenecks: this standards-based solution immediately works with existing data assets to build a trustworthy, scalable solution. And with both tools offering a strong foundation in knowledge graph technology, data is intuitively connected, aligned, and more usable.
Investing in a semantic data fabric solution also means that new opportunities for modern enterprise data management will arise. These are manifold:
Find, integrate, catalog and share all forms of metadata based on semantic data models
Make use of text mining: deal with structured and unstructured data at the same time
Graph technologies: perform analytics over linked metadata in a knowledge graph
Use machine learning for (semi-) automated data integration use cases
Automate data orchestration based on strong data integration backbone
More Value From Data
Here are 3 examples of how companies can use a data fabric to extract more value from data:
Enrich your knowledge
You can find valuable unstructured information about the customer on the web, social media, and in other channels, to augment your understanding of the customer and the problem they are experiencing.
Replacing equipment can cost millions of dollars. Anticipating failure to provide life-extending maintenance and plan for replacement is essential. To accurately predict equipment failure, you need data from different observation, reporting, and maintenance systems. A data solution that understands and links text and other data across different sources can improve predictions and save businesses millions.
Not seeing the full picture of your employees’ skills and expertise costs you precious time and money. Typically, such information is siloed in HR databases, resume documents, and other disconnected systems. By combining this unstructured and structured data, you can optimize costs and boost productivity by better matching your people to problems and tasks.
Get a deeper look into data fabrics.
Learn more about data silos and how you can enhance your infrastructure with semantic technologies.