Traditional data warehousing methods are usually complex, tiring, and time consuming, as it involve tons of code writing and manual efforts from various roles.

Data warehouse automation helps in increase productivity and consistent data quality by auto generating the codes and reports. Implementing a data warehouse with automation offers less waiting and faster project implementation for organizations.

Data integration36% said that data integration complexity is one of the top potential barriers in data warehouse architecture.

Defining data structureBasic tasks such as preparing & creating data structure consumes 47%, addressing quality & consistency issues consumes 45%, and manually assembling data consumes 39% of Data Architects’ valuable time.

Data warehousing practicesManually planned data architecture and data models affect the ability to create appropriate representations of business processes and information.

Data warehousing day-to-day activities

Aggregate, structure, and present data accurately and consistently in a robust and reliable way.

Data structure

Rapidly extract, transform, and load data from a variety of data sources and operational systems into a datawarehouse and dimensional cubes.

ETL

Replace manual coding and documentation work by modeling and generating code resulting in accelerated implementations.

Data modeling

Automate the entire data warehousing process and life cycle from source system analysis to testing and documentation.

Data warehousing practices

AUTOMATION

I need to ensure that the data assets and architecture are supporting my organization’s needs and achieving its strategic goals.

Data integration and ETL

15%

Daily data warehousing practices

20%

Defining data structures

35%

Applying data modelling techniques

30%

Data Warehouse activities with and without automation

Data warehousing day-to-day activities without automation

Data warehousing day-to-day activities with automation

For more information, Please visit: www.TimeXtender.com

TX2014 is the best-in-class resource containing all the features and functionalities that every Data Architect might need. It enables real business values:

With TimeXtender’s TX2014, implementation and other associated tasks can be carried out in short iterations in one-fifth of the time.

Save Time

Short iterations ensure that the solution is constantly aligned with the needs of business, which means solutions will be relevant when delivered and continuously delivers results to businesses from day 1.

Reduce Risk

TX2014 delivers real value by removing months of build efforts, and reducing maintenance costs.

Ensure Value

Tx2014: A powerful Data Warehouse Automation (DWA) platform

ConsultantDevelopers Project

leader Customer

Data modellingMore than 30% of data in an organization is duplicated to support siloed applications and decentralized applications. Duplicate data creates data quality issues and inconsistencies.

Traditional data warehousing requires efforts from a consultant, two-three developers, a project leader and a customer

It offers continuous business values by involvement of just a consultant and a customer

Consultant Customer

My objective is to make sure that the data is credible and well-maintained for my business.