The pace at which technology is evolving and the opportunities it is offering continue to dazzle us. Ours is an impatient quest for innovation for new approaches, solutions and answers to business problems and challenges.
We are always driven and motivated by the delight of making a difference and that originality is intertwined in our culture.
New ideas spur and new possibilities emerge with YASH Technologies as your Partner.
If Competitive differentiation, Business agility and creating sustainable competitive advantage summarizes what the “C” suite thrive to achieve resulting in cost reduction, profit maximization, market share increase, product portfolio rationalization, geographical expansion and new product/s launch, the means to achieve them are changing significantly with evolution of computing technology.
As “C” suite, when you are steering the company into future, we all reckon that the window to take decisions is shrinking and the differentiation over competition is punctuated by the ability to take Real-time or near Real-time decisions with accuracy and aplomb.
Companies are fully experiencing the benefits of ERP and BI applications which enabled them to have real-time transaction processing systems and converting the data into information and reports. However, the need is the ability to convert this information into interpretation and the interpretation into action items– Actionable intelligence embedded action items.
YASH with its domain expertise (gained thru implementing ERP applications all over the globe across several industry verticals) coupled with superior technical knowledge and above all, the ability to combine Information Technology and Information Systems to translate them as business technology and business solutions is ideally poised to partner you in your quest to continued business improvements.
Corporate excellence cannot be and should not be a random variable and YASH Data Sciences solutions by way of combining data from all internal and external sources-both structured and unstructured including video, voice, text and images, distilling the data to subject to an appropriate algorithm to either predict or optimize based on the business problem, we are solving thru Data Sciences driven approach hitherto solved thru classical and traditional even sometimes with intuition and gut.
Elevating the business chain into value chain, reconfiguring the business processes to maximize the business value, identifying the value leak areas and value add areas thru our business process transformation with our QBPM framework, Process Automation with our ERP implementation approach, Digital adoption and Decision digitization is what we provide with our business solutions, developed on open sources and on SAP Leonardo ML platform.
YASH’s Data Sciences and Analytics expertise encompasses several domains with solutions customized to derive best results for the underlying problems. YASH’s global Data Science & Analytics practice brings together the latest in Data Science Techniques with leading Business Consulting skills to build models that provide insight and quantify the risks and benefits associated with solutions to complex business problems. The combination of our services portfolio and our global delivery model sets YASH apart and provides exceptional value for our customers.
Our analytics team brings in-depth knowledge and expertise across a broad spectrum of industries. We believe our client’s success and our growth depends on maintaining strong partnerships with a wide array of key technology vendors and service providers across each of our core capabilities: Big Data, Enterprise Information Management, Business Intelligence and Advanced Analytics. Strategic partnerships with market-leading technology companies allow us to combine best-in-class skills with cutting-edge tools and resources. Key technology partners include: SAP, Oracle, Microsoft, IBM– Cognos, Qlik, and Tableau.
Visibility: Complete overview of the company’s supply chain to effectively monitor and modify processes for increased productivity
Responsiveness: A recommendation system to aid the user in decision making by considering various scenarios and how it affects ATP
Resilience: Estimating the tolerances of supply chain considering the risks occuring at various stages to meet the demand
Improved processes using historic data from established IoT systems
Accurately forecast the demand through causal forecasting and sensitivity analysis to understand the impact of different variables on the overall demand
Performing Causal Analysis to understand the Accumulation of inventory, Prediction of future Inventory levels considering various influencing factors and Prevention of Inventory Pile up by maintaining the desired stock level
Allocation and Procurement of Raw material as appropriate to minimize costs and wastage through optimisation
Determination of the most efficient means of Transporting goods and products to Optimize the Costs for Transportation.
Determination of the most efficient means of Transportation for third party logistics.
Identify, Assess, and Monitor Third Party Suppliers and Vendors to assure delivery of Services and formulate a risk mitigation strategy.
Accurate estimation of impurities in the manufacturing line for products
Real time recommendation to the user as the transaction is in progress to enable effective decision making
Evaluate the impact of the capital spend to the organisation to ensure effective management of finances
Identify the essential spends of an organisation which yield returns and which doesn’t to ensure spend optimisation
Evaluate the financial impact of business decisions at various stages of the processes to provide visibility to the management on the cash flow
Estimation of a company’s ability to meet short term operating expenses using projected cash flows.
Maximizing revenue by optimising the quantity of products being marketed
Analyse thehistoric data to evaluate the effectiveness of the spend allocation for various marketing channels
Identify key differentiators to group similar customers into appropriate groups for targeted advertising
Understand the effectiveness of the discount/ discounts on the overall sales and enable the management to promote the right discounts to boost the sales and customer loyalty
Assesment of the success of marketing campaigns and design of future campaigns
Use of Public Data to Profile end users for marketing relevant products
Dynamic system to accurately suggest recommendations to customers based on past purchases
Identification of the key reasons for Customer Churn to effectively boost satisfaction levels
Prediction of the entire value derived from a customer during the entire course of connection with the company
Predicting the Probability of a Customer to convert at different stages of the sales cycle. Enables the Sales department to improve the success rate and management to accurately forecast revenues
Evaluation of the impact of marketing campaigns and latent factors into a customer’s decision
Conversion of Physical Documents into a Digital copy using Image Processing and deriving insights using AI algorithms
A neural network based assistant to automatically reply and address queries based on Natural Language Processing Techniques.
Analyse the customer comments/feedback using text analytics to gain valuable insights to improve the Business
Analyse the POS log data to identify the POS machine failure patterns and take corrective actions
Estimating the remaining life of a machine with data captured from different sensors
Estimation of shutdown of a machine using past failure patterns to schedule maintenance
Evaluate Company’s capability to respond to a disruption with respect to spare parts.
Use of Sensor data to evaluate abnormal situations to avoid breakdowns
Evaluate the machine input parameters and identify their influence on the output to ensure better control and maximise the throughput
Using Key performance Indicators from complex manufacturing processes to isolate faulty equipment or sequences of equipment
Rule-Based preventive maintenance dictates that maintenance should only be performed when certain indicators show signs of decreasing performance or upcoming failure
Overview of key performance indicators and allows making faster decisions using Aggregation, Prediction, Simulation and Regression
Panel to display overview of key performance indicators and graphical status of the Procurement Process
Panel to display overview of key performance indicators and graphical status of the Production Process
Panel to display overview of key performance indicators and graphical status of the Marketing Process
Panel to display overview of key performance indicators and graphical status of the Sales Process
Multichannel Visibility across various customer experience points to improve the overall customer relationship and lifetime value
We leverage our rich industry knowledge, advanced Analytics techniques, and Technology tools to help you gather insights by bringing together the combined expertise of process, data and analytics, for driving tangible business outcomes. Using a combination of the latest data science techniques and big data technology, we are able to provide insight into all aspects of business operations. Our predictive analytics solutions ensure that you are well-equipped to cope with high volumes of streaming structured and unstructured data and enable accelerated and accurate real time decision making.
Analyzing large data sets requires significant computing capacity that can vary in size based on the amount of input data and the type of analysis. This characteristic of big data workloads is ideally suited to the pay-as-you-go cloud computing model, where applications can easily scale up and down based on demand. As requirements change, you can easily resize your environment (horizontally or vertically) on AWS to meet your needs, without...Read More
SAP HANA is a game changer when it comes to data processing and analytics. Data Modeling is the core of HANA application development. Primarily , Data Modeling is a fusion of both ETL ( extract , transform, load ) technology and business processes. It helps the transformation of disparate and normalized data into an organized structure suitable for reporting and decision-making. The main function of Data Modeling task is to...Read More
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