Knowledge

Services

Our offerings across data management covering ETL activities on a comprehensive quality assurance framework, and sophisticated analysis of this data enable our clients chalk out comprehensive strategies to gain actionable insights for a competitive edge.

Data Management
Services

We provide data sourcing, mapping, extraction, spreading, data annotation services and more. Our timely, accurate, and affordable solutions help create and implement a well-planned approach in managing your most critical asset – that is, your data.



Sourcing

We excel at automated, manual, and hybrid data sourcing services. We have systems that filter through thousands of websites to locate releases of data and documents almost on a real-time basis. These are downloaded, filed, and delivered according to client specifications.

Extraction & Aggregation

We provide automated, manual, and hybrid data aggregation & consolidation services whereby we populate data in chart of accounts provided by clients.

Validation

We provide data validation services whereby we design and implement logical tests that are run concurrently with data aggregation. Easy-to-use exception reports are generated to flag deviations and aid in correcting the same.

Cleansing

We undertake cleansing of inaccurate data based on parameters and criteria prescribed by our clients. We spot the incomplete, incorrect, inaccurate, irrelevant data and correct/modify/remove the same from the database

Database Maintenance

We excel at automated, manual, and hybrid data sourcing services. We have systems that filter through thousands of websites to locate releases of data and documents almost on a real-time basis. These are downloaded, filed, and delivered according to client specifications.

Data Annotation

Data annotation is the process labelling data in order to make it usable for machine learning. Data can be in the form of text, audio, images, or video. Prior to any machine learning process being effective, there is this crucial stage of pre-processing raw data so that ML models can recognize the patterns and after several iterations, these models become powerful enough to recognize similar patterns on new unstructured data.

ICRA Analytics provides/offers managed data labelling services delivering domain-specific labelled data with an emphasis on quality control. Services include semantic annotation, image annotation, text and content categorization. We have expertise in annotating text in multiple languages to make it recognizable for your AI-enabled solutions. ICRA Analytics offers higher accuracy, high turnaround and completely scalable back-office data processing at effective costs.

Value Added
Services

We enhance our client’s data by offering value additions, which renders the data better suited for further analysis. Our services in this area include:

Accounting Adjustments

Improve Employee Productivity Our in-house experts combine an in-depth understanding of GAAP & IFRS accounting standards for English and non-English financials of corporates and banks across different domiciles. Similarly, for public finance entities in accordance with GASB accounting. We specialize in accounting adjustments duly factoring in sector specific parameters.

Interpretation of Financial Reports

We undertake qualitative and quantitative interpretations of quarterly and annual reports for holistic decision making. This includes customized view of results based on users line of analysis. Notes, disclosures, MD&As are analysed to generate insights on creditworthiness, contingencies, financial health, etc.

Financial Ratio Analysis

We perform financial ratio analysis to support various client processes that involve determining the financial health of any corporation or any other entity Our in-house developed template for capturing the ratio analysis is often used to generate insights about past performance, industry benchmarks and expected trends.

Data Validation

We support dynamic data update requirements of securitized assets. We undertake validation of data by passing them through rigorous sophisticated tests for end users to use clean data in their analysis. This includes understanding script waterfall for advanced data cleansing for CDOs.