Engineering AnalyticsData Analysis

L&T Technology Services’ Data Analysis capability enables the product engineering function to make decisions about several things, including: purpose of the operation, part design characteristics, specifications and tolerances of parts, materials, manufacturing process design, setup and tooling, working conditions, material handling, plant layout, and workplace design. Knowing the specifics of who, what, when, where, why, and how of product manufacturing assists in the development of an optimum manufacturing method.

  • Data Cleaning: High quality data is necessary to make correct timely business decisions. L&T Technology Services’ Data Cleaning models ensure the data is accurate and conforms to pre-set business rules of the customer. Consistency, completeness, accuracy and uniformity of data is important as data could be gathered from different sources, regions and parties, and forwarded to a central processing team. By careful auditing of data and control over data gathering workflows, integrity of data can be assured.
  • Data Mining: Discovering patterns in large data sets involving methods that combine artificial intelligence, machine learning, statistics and database systems is critical to product engineering decision making. The overall goal of L&T Technology Services’ Data Mining technique is to extract information from a data set and transform it into an understandable structure for further use.
  • Data Digitization: L&T Technology Services’ Data Digitization service offers an efficient complete, cost-effective paper-to-electronic solution that enables the storage of data using metadata and schema that facilitates easy discovery.
  • Segmentation & Clustering
  • Trend/ Pattern recognition
L & T Technology Services

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