using KALIDO® MDM™, a master data management application included in the. KALIDO 8 enterprise data warehousing software suite. It is a workflow-driven. With Kalido MDM, business users and decision makers can begin to trust their data and be confident that their operational and analytical business processes are. Filter reviews by the users’ company size, role or industry to find out how Magnitude MDM (Kalido) works for a business like yours.

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Between anda Shell team led by Andy Hayler spotted the opportunity to develop KALIDO software on the basis of this research to solve the challenge of obtaining performance information across multiple Shell organizations throughout business change. The software was deployed within Shell in countries worldwide, powering dozens of projects and generating tens of millions of dollars of annual cost savings.

Magnitude Kalido MDM

kalkdo Generic data modeling is an advanced database design lalido that offers advantages over conventional designs. Shell developed the technique and offered the mem design approach to the ISO standards community.

The approach involves the structure of the data being held as data, rather than being defined by a specific physical database design. Generic data modeling is a radical departure from traditional data modeling principles. It increases the consistency and accuracy of corporate performance reporting by enabling business people to collaboratively manage and control master data in a workflow-driven environment. Workflows can be msm to ensure that the data—or the model—is revised accordingly.

The generic structure, compared to the traditional data warehouse design based on third normal form schemas and snowflake or star schemashas both advantages and disadvantages.

A pure implementation of generic modeling principles will bring with it some disadvantages such as:. Despite the generic structure being different from conventional designs, it is far easier to query once understood as it combines the business metadata dictionary with the business context data.

Finding out where something is stored is far simpler than navigating through hundreds of obscure tables. Given the above advantages and disadvantages, a mix of the generic design for business context data and the star schema for transaction data and retrieval would make an ideal situation.


Kalido has UK patents on this design. These mapping tables are complex and contain the full structure of the business context data hierarchies, including the date and time stamping of changes. They are regenerated when either the master data or its structure change so Kaldio DIW fully manages both the generic data storage and its replication in mapping tables. This replication is done incrementally and can be delayed so that bulk changes kalico be made over a period with only a single generation of the msm tables concerned.

This ensures that optimum performance is delivered, in accessing both the generic data for exploration queries and the mapping tables for OLAP queries.

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Conventional star schemas include the business context data, but they are keyed reference tables with all the attributes, classifications, etc. This causes duplication of data and difficulty in maintenance, but is fast to process. The creation of the mapping tables can be a scheduled task or the user can initiate it. Batch tasks can also be used for business context data loading, transaction loading, summary generation, mapping table generation, data mart building, or export of transaction or business context data.

Data marts are generated by extracting information from the warehouse in a form that can be analyzed using tools such as Excel or BusinessObjects to slice and dice, or drill-down through it.

The data mart can be separated from the database, and small ones can take the form of Excel pivot tables, which can be taken away on a portable computer for offline analysis. In summary, one of the requirements of a data warehouse is that it should be capable of storing and managing almost any data from any source. Kalido opens first sales office in the US. Kalido wins first US customer.

Brian Hartlen – Vice President, Marketing. Cliff Longman – Chief Technology Officer. Joan Nevins – Chief Financial Officer. Advantages The generic structure can store time variant business context data i. By contrast, traditional data models represent a snapshot of the requirements that were valid at the time the model was created. This makes mdmm difficult to store historic data, which may require as much analysis as the current data.

Often historic information is discarded due to the extra design required. The generic structure presents a highly standardized approach to loading and retrieval, enabling the automatic creation of loading and retrieval routines by KALIDO DIW. The generic structure enables the loading of new classes of data through the simple addition of a few records of metadata.


Conventionally, changes in requirements cause changes mdk the design, requiring a database administrator to alter the table structure of the warehouse and to reorganize the data in the database.

Kalido – wikidoc

The costs and time involved can be considerable. The generic structure allows the capture of complex business rules that are difficult to capture using a conventional relational structure.

The use of metadata allows the structure of business context and transaction data to be easily understood by business users. Disadvantages A pure implementation of generic modeling principles will bring with it some disadvantages such as: Conventional star schema can give better performance than physical implementations of the generic structure. The generic structure supports the business structure by holding multiple rows, linked by pointers, instead of the conventional columns in a table.

This makes the data difficult to read and the SQL difficult to write, requiring a codegenerating front-end to read and load data. The star schema design is well understood by the data warehouse community, in particular by consultants and vendors of tools for OLAP. The generic structure is an unconventional design that has more in common with object orientation techniques than traditional data modeling principles. Implications Given the above advantages and disadvantages, a mix of the generic design for business context data and the star schema for transaction data and retrieval would make an ideal situation.

Information is held in a neutral format, i. There are neutral formats for transaction data and business context data. Metadata is used for: External links Kalido Corporate Website.

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