Digital Transformation
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Overview
ValueAdd’s digital transformation services aim at offering intelligent transformation solutions than digitization or automation of processes. Our strong legacy of investment research experience with global financial institutions including investment banks, commercial banks, hedge funds, asset managers, sales and trading desks, institutional research desks, private equity and venture capital firms, and start-ups and mid-sized companies, offers significant domain expertise required for smart digital transformations. The business teams of clients are often constrained with bandwidth required to translate and explain the business logic to the technology development teams. We not only address this gap but also manage the development process through out.
Our digital transformation services span across data engineering, machine learning, data modelling and analytics, visualization and insights, business analysis, application development, and testing. We provide descriptive, predictive, and prescriptive data analysis, based on latest scientific methodologies and technologies, offering optimal results to the clients. Our team of data scientists and research analysts form an Ace team to develop the cutting-edge technology for our clients.
Our team of research analysts come with strong experience in global investment research including equity, and fixed income and credit. We are a team of MBAs/CFAs/CPAs, with hands-on industry experience supporting mid-to-large financial institutions.
Our team of data scientists have knowledge and expertise of the latest technologies in artificial intelligence, machine learning, deep learning, Tableau, Power BI, NLP and Textual analysis, Java, and SQL technologies.
Our
Solutions
Data Engineering
We take the quality of data very seriously, as our clients’ decision-making is largely data-driven and sensitive to the quality of data inputs. The data may come from multiple sources and at different frequencies and in different formats. We have it covered. We have expertise across data types including
- Fundamental or financial data across income statement, cash flow, balance sheet, and financial schedules.
- Market data across stocks, bonds, loans, CDS, options, derivatives, and other financial instruments.
- Data related to economy, sectors (operating metrics), and news feeds.
- Bond terms and covenants.
- Sales data related to clients, prospects, products, CRM data, and other related business development feeds.
- Shareholding information
The Data Warehousing will include, gathering of data from multiple sources, logical piping or mapping of the data sets, cleansing the data and removing the data anomalies/gaps. And, build a powerful, scalable, connectible, and easily retrievable database for any kind of integration. The strong domain expertise elevates the quality of data, as the data mapping and cleansing goes beyond obvious techniques, and is infused with deep domain/ sector/ segment understanding making each data more meaningful and thus valuable.
Data Modeling and Analytics
Our AI and ML models go beyond the test scores and the hypothesis. As domain experts we can see beyond numbers and connect the scores with relevance and materiality, and arrive at the accurate inferences. Scientific assessment of the business problems, coupled with the business understanding deliver extraordinary results. You may be looking to solve your business problems including,
- Equity fair valuation
- Credit risk evaluation
- Default prediction
- Bankruptcy predictions
- Credit score predictions
- Loan foreclosure and delinquency predictive analysis,
- Customer loyalty predictions
- Cross-selling analysis
- Revenue optimization analytics,
- Social media analytics,
- Sentiment analysis,
- Customer survey analytics
- Attrition analysis
ValueAdd shall deliver appropriate solutions to your unique business problems. The following machine learning models have been absolutely useful in solving real-world business problems of our clients: Random Forest . We provide end-to-end solution implementation from scoping through hosting the solution in your environment. Further, it can be extended to providing a regular maintenance support for any customization to the data models.
Data Visualization and Insights
Big data is a huge advantage for the businesses who make decisions based on scientific methods over individual judgements or hunches. However, one needs to slice and dice the information for better comprehension.
Our data visualization techniques assist in understanding nuances of data, features, correlations, and other anomalies, if any. It helps cleanse the data, remove biases, address outliers, and other issues.
The decision-makers use it to monitor various important business, financial, market, currency, and risk parameters, on a real-time basis. The intelligent and interactive dashboards enhance the effectiveness of crucial business/ financials/ investment/ risk management decisions.
The popular tools including Tableau, Power BI, and libraries of Python/ R are most effective for majority of the applications.
Business Analysis and Application Development
ValueAdd is well-positioned to bridge the gap between business and in-house/ external technology teams. We deliver end-to-end commercial applications from scoping through hosting it in your environment. Our domain and technology experts lead the project to the complete and satisfactory execution, within the stipulated timelines and budget.
In case you have are interested in doing the business analysis, then our business analyst(s) will work with your in-house teams or business and technical. Understand the ‘As Is’ process, identify redundancies, suggest process improvements, recommend more suitable controls, set/revise accountability matrix, and also deliver a detailed documentation. This documentation can be used for further application development and hosting.
Application Testing
The application testing requires strong attention and methodical approach. Our team of domain and technology experts test the clients' applications functionally and technically, respectively. Our team of domain and technical testers are methodical in their approach and go by the book, to ensure 100%+ results. The test cases prepared are designed to rigorously test the application and find maximum errors in a short period of time, to allow more time for bug-fixing. The various types of tests conducted include Unit testing, Integration testing, System testing, User Acceptance testing (UAT; alpha and beta testing).
Very importantly, our partnership approach of testing and collaboration with the business and technology team helps avoid any misunderstanding, confusion, and behavioural/ perception issues; and a teamwork delivers supernormal results to the client
Data Engineering
We take the quality of data very seriously, as our clients’ decision-making is largely data-driven and sensitive to the quality of data inputs. The data may come from multiple sources and at different frequencies and in different formats.
Data Modeling and Analytics
Our AI and ML models go beyond the test scores and the hypothesis. As domain experts we can see beyond numbers and connect the scores with relevance and materiality, and arrive at the accurate inferences.
Data Engineering
We take the quality of data very seriously, as our clients’ decision-making is largely data-driven and sensitive to the quality of data inputs. The data may come from multiple sources and at different frequencies and in different formats.
Application Testing
The application testing requires strong attention and methodical approach. The detailed testing may be at times ignored due to various factors including low budgets, tight timelines, and assumptions or overconfidence about the application.
Business Analysis and Application Development
ValueAdd is well-positioned to bridge the gap between business and in-house/ external technology teams. We deliver end-to-end commercial applications from scoping through hosting it in your environment.