Our customer basically needs to extract health care data from their databases into flat files. The data is very bulky. The customer is well versed in SQL and wishes to utilize this fact and develop an SSIS package that eliminates the need of SSIS knowledge for their employees, leverage their knowledge of SQL and make extracts possible by just writing stored procedure(s).
The dataset provided contains extensive information on agricultural crop production across various states and districts in India, spanning multiple years. The dataset includes details on the state, district, crop, year, season, area, production, and yield. However, the raw data, as presented, poses several challenges for stakeholders looking to gain actionable insights:
Data Complexity: The dataset contains mixed data types and large volumes of information, making it difficult for users to extract meaningful insights without extensive data processing and analysis.
Reporting Limitations: Without a structured reporting mechanism, it is challenging to analyze trends, compare performance across different regions and crops, and make data-driven decisions.
Granular Insights: Stakeholders require granular insights into crop production at the State level, seasonal analysis, and year-over-year comparisons to optimize agricultural practices and policies.
The organization, a multinational company with branches in various cities, faced a challenge in disseminating monthly data reports to their respective city managers. The existing manual process involved gathering data from multiple sources, compiling it into a report, and manually sending it to each manager via email. This process was time-consuming, prone to errors, and lacked consistency.
The client was looking to build a near real-time Operations Dashboard for the Operations as soon as the data arrived. Their data was both in structured and semi-structured formats. The semi-structured data was delivered throughout the day in XML or CSV formats. The structured data was sourced from an on-prem SQL Server. The client wanted an Operations Analytics Dashboard built from the above data sets that could show how efficient the operational process is while loading and unloading train cars that load materials in the vessels, how efficient is the handover process from one shift to another, the number of safety incidents, and maintenance over the period, such as daily, weekly, and monthly.
The client wanted to create a shopping cart feature within their PowerApps Portal that would showcase their products stored in Dynamics 365 Finance and Operations. They sought to deliver a comprehensive e-commerce experience directly from the portal, allowing users to browse products, add them to a shopping cart, and complete the purchase—all while ensuring the process was seamless and fully integrated with their existing Dynamics 365 environment.
Our customer often wants us to develop custom packages which either extract data from their databases to flat files or load data from flat files in their databases.
One of the leading construction companies wanted to have a solution that could help them to automate the tracking of their resource utilization, manage equipment maintenance, and automate the tasks for the engineers. They were maintaining all these things offline and wanted to have a cloud platform that could achieve these requirements. Requirement was also there for the field engineers i.e. they need to have a mobile application that can sync with cloud software and engineers can be able to add and edit records from the mobile.
The client faced significant challenges in managing their projects and maintaining effective communication with field agents and customers. The primary issues included:
One major challenge that we faced was managing timesheets of each member of our organisation. We used to create an Excel spreadsheet for each project that we worked on which we would update with a short description of the task, the start time and the end time of that task. This meant that each one of us would maintain one spreadsheet for each project that we worked on. Our team leads and project managers would go through each of these spreadsheets, understand the task and the time spent and update a spreadsheet which they maintained and set to the client. So, at the start of or end of each day, the team lead and project manager would have to juggle multiple timesheets of each project that they oversaw. Not only was this time consuming but left room for error also.
Our client, a forward-thinking organization keen on optimizing operational processes, recognized the need to automate the extraction of email addresses from their Outlook Online Mail. This was particularly crucial for specific time periods, allowing for targeted analysis and enhanced communication insights.
The Contract, Contract Line, and Contract Template entities are deprecated and will not be supported from April 1, 2022. They will be removed in a future major release of Dynamics 365. This functionality has been replaced by entitlements in Unified Interface. In the Classic interface, the client wasn’t able to use the functionalities related to Contract. So, we decided to move the data from Contract, Contract Line, and Contract Template entities to the Entitlement and Entitlement Template entities. But some of the records weren’t getting imported due to duplicate data using OOTB Import data tool of D365 CRM.
Our Australia based clients in health care industry had to manually create files from records in the subgrids. Once the files were created, they had to be converted to PDF document and send them to their clients.
The company faced significant challenges in utilizing the data directly from the source because of the complexity. In addition to this, the reports developed earlier were not interactive and took a lot of time to load.
A nationwide network of learning centers operates under an organization, generating surplus data stored across five different sources tailored to specific requirements. Utilizing this data, the organization aims to develop comprehensive Power BI Reports that are both robust and user-friendly, ensuring easy comprehension and usability.
There is an FMCG company having a Nationwide presence that supply FMCG products which are usually not long-lasting products and regarded as CPG (Packaged Goods for Consumers). So, to minimize the wastage and maximize the sales it is very crucial to monitor sales and inventory and take necessary action. All this business is managed Using Dynamics 365 CRM and data is Stored in its unified storage location Dataverse. Using this Data, company wants to develop a Power BI Report which helps them to have a bird eye’s view of their business and track the Sales and Inventory of their products in various stores and notify the manager concerned on crossing a prescribed threshold.
In the dynamic landscape of healthcare, efficient data management is crucial for providing quality patient care, optimizing operations, and facilitating research and development. This case study revolves around the client, which faced challenges in managing its vast and diverse datasets efficiently. To address these challenges, the organization implemented Azure Synapse, a cutting-edge data management solution. This case study explores how Azure Synapse revolutionized the client.’s data management processes, leading to improved outcomes and operational efficiency.
Recently we had to use linked servers to fetch data for some SSRS reports. Our initial approach degraded the performance and the reports were getting loaded very slow which was not at all acceptable. We had to come up with a solution that would use linked servers yet decrease the report loading time.
The client is a leading healthcare organization providing a wide range of medical services, including hospitals, clinics, and research facilities. With a large network of facilities and a diverse patient population, the organization generates a vast amount of data daily, including patient records, clinical trials data, administrative data, and more.
The client needed to display Accounts, Cases, and Contacts in the PowerApps Portal based on the hierarchy of the logged-in Contact. However, PowerApps Portal properties only provided access to the Parent Account of the logged-in Contact, with no direct method to fetch records according to the entire hierarchy.
The client wanted to streamline their marketing processes. They wanted to manage their Leads, Customers, Campaigns, Events and its related collaterals, newsletters etc. in a centralized system. They wished to track the journey of an unknown prospect to a known customer at every inter actione.g. the number of emails sent to a particular prospect, number of emails received by them, email opened, replied, bounced etc.
Under campaign management they were also looking for subscriber management and managing the consent from the customer to receive the newsletters and other emails sent by our client.
Also, they wanted to set up a calendar management feature for their marketing team to get timely reminders for the follow-ups and meetings with the prospective clients.
Our client approached us with a suite of reporting requirements encompassing both Power BI and SSRS. While some existing SSRS reports needed debugging and refinement, others were to be created from scratch. The objective was not only to rectify existing issues but also to enhance the reporting capabilities by leveraging Power BI for digital consumption.
A large regional healthcare provider with multiple hospitals and outpatient clinics sought to enhance their patient engagement and streamline their service operations.
The US based Client was relying on manual processes for managing their sales data, which involved creating and filling out sheets and updating the system manually. This approach led to inefficiencies and delayed operations.
An electronics retailer with both online and physical stores, using Shopify for e-commerce, needed a more efficient way to manage their operations.
Space Constraints and reliability, dependency on remote connectivity, system maintenance and system downtime during software updates poses a significant challenge. After updating software versions, it is often necessary to restart the system, leading to downtime. During this period, workflows cannot be executed, causing delays in processes and impacting overall productivity
One of existing our clients whom we provide support for BI and SQL Server had a stored procedure giving poor performance and we were asked to analyse it for optimization. The limitation was to just re-structure the queries without making any changes to the underlying DB structure.
The client’s main pain point was that they had to store the first pages of 2 documents. So they were uploading the entire documents in Dynamics 365. This was taking up a lot of database storage and they were forced to buy extra storage space at regular intervals.
Apart from this they also needed multiple changes according to their requirements, ability to drag and drop documents and get their storage space back.
Client based in USA, provides various kinds of investigative services to its customers. Their employees move out in the field, perform investigations and provide their observations. Some of the investigators are employees and some are contractors.
In modern organizations, HR departments often face a high volume of repetitive queries related to company policies, benefits, leave applications, and compliance. To streamline HR operations and improve response efficiency, an AI-powered HR Assistant chatbot was developed. This chatbot leverages advanced AI technologies to provide instant, accurate, and consistent responses to employee queries, reducing the workload on HR teams. It is available 24/7
Our client, an innovative organization focused on enhancing operational processes, identified the need for a notification on the Mobile App, whenever a work order is booked for resource.
Space Constraints and Reliability: On-premises systems require physical space for servers and infrastructure. Hardware failures or crashes can disrupt workflows, causing downtime and impacting critical processes. This reliance on physical hardware poses risks to continuity and system reliability.
Dependency on Remote Connectivity: Users relying on the flow system need remote access to view or make changes, especially when away from their desktops or outside the office. This reliance on remote connections introduces logistical challenges and potential disruptions to workflow accessibility.
System Maintenance: Regular system maintenance, including updating software versions and configuring settings, presents challenges. When software versions are updated, configurations need to be adjusted, and additional toolkits may be required. Moreover, deploying updates to production environments may involve transferring software to different systems, potentially causing compatibility issues or disruptions in workflow.
Additionally, system downtime during software updates poses a significant challenge. After updating software versions, it is often necessary to restart the system, leading to downtime. During this period, workflows cannot be executed, causing delays in processes and impacting overall productivity.
The client used a third-party application to manage their day-to-day work. Building dashboards to measure the KPIs (such as machines on the collection, priority tasks, high priority tasks, early warning on delays, etc.) was a manual, time-consuming, and error-prone task. They were looking to automate the entire workflow and needed the data every 30 minutes to be able to effectively manage their process.
They were unable to build a view of the drivers’ efficiency, and early warning when prioritized pickups could get delayed. To make matters more difficult they had no internal expertise in technical aspects of the application they were using, making requirements gathering a tricky proposition.
One of our clients is a leading fashion retailer with a strong online store and multiple physical stores across the United States. They are known for their trendy apparel and accessories. The company is having huge number of customers from millennials to professionals.
The Fast-Moving Consumer Goods industry is highly competitive and dynamic, and its success largely depends on how efficiently the operations are carried out and how effective the decisions are. A leading FMCG firm wanted to draw up a detailed data analysis report that would help them gain insight into different aspects of their business. This would enable them to gather practical knowledge about sales performance, inventory management, regional distribution, retailer performance, and delivery efficiency.
Our client belongs to a large enterprise that works with a lot of data. Client used SSAS Multidimensional model to arrange their business analytics. Producing comprehensive insights required a model like this one because of its ability to handle complex logic and large datasets.
In a bid to enhance data analysis, to examine various indicators across their business areas, the client came to us with a requirement that they urgently need better reporting capabilities. They wanted reporting solutions that are easy to comprehend and capable of effectively utilizing the SSAS Multidimensional data model and as a result they went with SSRS. They also wanted to create separate reports for Exporting to Excel and PDF to meet the requirements.
The customer aimed to enhance their internal customer support system and transition from the outdated legacy system to a new, more efficient one.
One of our clients in Banking industry needed an App for its ATM Inspection team to ease their inspection and report generation process.
Our client, based in Australia, required the setup of Microsoft Dynamics Business Central Online to streamline their business operations.
The client wanted to automate their Performance Scorecards and Financial Dashboards in Power BI. The requisite data sets were set across multiple data sources such as application database, SharePoint, and Excel files. We also had to fetch data from third-party APIs.
A client based in the USA, required a solution for managing media files efficiently. Specifically, they needed to attach multiple images with captions from Dynamics 365 Portal and prepare a Word document (.docx) containing these images and captions. Additionally, the document needed to be uploaded to a designated path on SharePoint.
Australia based client who provides services on Jewelries and products from precious metals. They use the most advanced technologies for making jewelry as per their customers’ demands. Their customers are basically retail Jewelers and manufacturers across the country.
The pharmaceutical industry is a highly competitive and fast-moving segment wherein much of the success depends on an enterprise’s ability to maintain operations efficiently and to make decisions based on valuable data insights. Hence, one leading pharmaceutical company sought to create comprehensive data analytics report to dig deeper into business operations. It was highly essential for comprehending key issues related to product performance, inventory management, distribution of sales across the regions, effectiveness of various sales channels, and sales personnel performance. From these insights, the company would move ahead with optimizations of operations and effective strategic decisions to achieve much better business performance in a head-tough market.
USA based Company, a leading provider of telecommunications services, sought to upgrade its customer service capabilities to better manage customer interactions and improve overall service efficiency. The company faced significant challenges with their legacy customer service system, which hampered their ability to deliver timely and effective support.
The client wanted an application to estimate price of polish diamonds based on different parameters like: Carat, Color, Shape, Fluorescence, Symmetry, RAP etc. This application was to be used by the client’s purchasing department to replace the manual pricing procedure they had been following till date.
Our client, based in the USA, required the implementation of Dynamics 365 Business Central Online to streamline their financial operations.
The client wanted to create a single document composed of a document containing text and images, that they create and upload from the portal with a fixed text at the beginning and the end of this merged document.
The case study delves into the implementation of a centralized data management system in a multinational day care center spread across India, Australia, and the USA. The objective was to streamline operations and improve childcare quality through optimized data handling.
For our client, handling and managing the business processes involved a lot of manual work which was tedious, error- prone and time consuming. The client suffered delays in making deliveries to the customers, which were danger for the client’s image. The client wanted us to develop an easy to use ERP that would automate their business processes and help eliminate the cons of manual work. Giving the much obvious benefits of SQL Server, we decided to use it in for the back-end.
Based in the USA, our client is a service provider specializing in supporting media companies to maximize their advertising revenue. They needed a comprehensive system to streamline their ordering process by integrating their operations with Finance and Operations (F&O).
Based in South Africa, our client required the integration of various functionalities in Microsoft Dynamics Business Central Online.
Dynamics 365 is a suite of smart business applications designed to enhance operational efficiency and provide exceptional customer experiences. It helps businesses become more agile and simplifies processes with its Out of the box entities in sales module, all without increasing costs.
In every mid to large-scale organization, the sales cycle typically involves four fundamental stages: Prospects, Qualification, Proposal, and Deal. It is essential to monitor the progress at each stage of this pipeline to boost sales and efficiently manage the entire process, from qualifying prospects to closing the deal.
Our customer basically receives the zip file(s) for the health care data from various medications units and organisations (who are their clients) to be loaded to their Prestaging databases. Each zip file has one or more CSV, TXT, or any other flat file type of source with very bulky data to be loaded to Pre staging database.
The client provided us some SSIS packages, which extracted required information from their servers having identical databases. For some servers, it was not possible to use SSIS and the client wanted to have T-SQL Queries developed, which would return the same results as those of the SSIS packages.
The Customer wants to manage their Sales Cycle, with Microsoft dynamics CRM 2015 Online. They would like to manage their products, phone calls, orders and quote using the system.
Our client faced challenges in consolidating data from diverse sources, including APIs and Azure Excel sheets. To address this, they adopted Microsoft Fabric and implemented a layered data transformation approach—Bronze, Silver, and Gold layers—ensuring structured, efficient, and seamless data management:
Bronze Layer: Raw data was loaded and stored as-is, with notebooks fetching data from the sources.
Silver Layer: Specific columns were selected from the raw data for analysis, and calculations were performed to prepare the data for final use.
Gold Layer: The final layer was designed for housing semantic models and final tables for analysis.
Despite this architecture, they faced significant challenges
The client has law firm in the United States, handling litigation processes and managing organizational cases. They required an efficient document management system to securely store client documents on a per-case basis.
For players or teams representing their nation on a global stage, excelling and winning medals is crucial for national pride. Historically, numerous sporting events have taken place, with the Olympics serving as the premier event where teams from around the world compete. Therefore, analyzing the performance of each team or player from different nations is essential to refine game strategies and address weaker areas.
Our customer basically needs to extract health care data from their databases into flat files. The data is very bulky. The customer is well versed in SQL and wishes to utilize this fact and develop an SSIS package that eliminates the need of SSIS knowledge for their employees, leverage their knowledge of SQL and make extracts possible by just writing stored procedure(s).
A dynamic business environment requires real-time insights from continuously changing datasets. This case study showcases the creation of a real-time CDC dashboard using Microsoft Fabric’s integrated ecosystem. The solution streamlined data ingestion, transformation, and visualization, enabling up-to-the-minute decision-making.
To develop an end-to-end data analytics solution that includes an ETL process to extract the large amount of data from various sources, apply required transformations as per the business logics, and store the data in the centralized location for making reports to represent the data using visual representations using PowerBI as well as update the end users about the data discrepancy (Anomalies).To develop an end-to-end data analytics solution that includes an ETL process to extract the large amount of data from various sources, apply required transformations as per the business logics, and store the data in the centralized location for making reports to represent the data using visual representations using PowerBI as well as update the end users about the data discrepancy (Anomalies).
Our client belongs to the health care industry. Our client wanted to improve their health care services. A detailed analysis and reporting was required on various aspects like,
The ratio and severity of various health problems faced by the patients
Treatments used and their effectiveness
Expected requirements of staff/instruments
Client Region – Germany
Company Size – 100 – 200 people
Domain – Telecommunications
Challenges
Managing diverse data systems posed a challenge for our client. This study highlights two approaches to leveraging Microsoft Fabric’s medallion architecture for integrating data from Oracle and MySQL sources, performing transformations, and delivering actionable insights through Power BI reports. Both methods demonstrate robust pipeline creation while showcasing the advantages of structured data flows.
Previous Implementation: The Previous implementation utilized the medallion architecture—a structured framework involving bronze, silver, and gold layers. Both the databases were hosted in AWS, and using PBI Data Gateway, they fetched the data from there. Their methodology was as follows:
Raw Data Ingestion: Instead of ingesting raw data into the bronze layer, they directly loaded the data into the silver layer using Dataflow Gen2.
Silver Layer Transformations: The silver layer served as the central repository for unifying and structuring the data. However, the raw data from both Oracle and MySQL was stored here without prior standardization in the bronze layer.
Gold Layer Semantic Model: Transformations and semantic modeling were executed entirely in the gold layer, preparing the data for reporting.
Reporting: The gold layer was used as the foundation for Power BI reports, offering insights to stakeholders.
While this approach successfully delivered reports, bypassing the bronze layer introduced certain limitations. The lack of a dedicated raw data repository and initial standardization in the bronze layer could impact traceability, lineage, and overall efficiency.
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Standardized Medallion Approach: we implemented an alternative approach that aligns with the medallion architecture principles, ensuring optimal efficiency, traceability, and maintainability within Microsoft Fabric:
Bronze Layer – Raw Data Repository:
Raw data from Oracle and MySQL was ingested into the bronze layer Lakehouse.
This layer served as a single source of truth, preserving the original state of the data for traceability and auditability.
Silver Layer – Data Standardization:
Data structures from both sources were standardized to ensure consistent data types and schemas.
Selective columns were extracted based on analytical requirements, reducing storage overhead and improving performance.
The dataset is saved in a silver layer Lakehouse.
Gold Layer – Semantic Modeling and Transformations:
Advanced transformations were performed in the gold layer, focusing on creating a clean and meaningful dataset.
The data was optimized for business intelligence use cases, ensuring readiness for reporting and analytics.
The dataset is saved in a gold layer Lakehouse.
Power BI Reporting:
Reports were built on the semantic model created on a dedicated reporting Lakehouse, which references the dataset saved in the gold layer Lakehouse. This ensured actionable insights with high accuracy and reliability.
Key Features of the Solution
Our methodology provided several advantages:
Enhanced Traceability: The bronze layer preserved raw data, allowing for better lineage tracking and simplified debugging.
Improved Data Consistency: Standardizing schemas and data types in the silver layer ensured uniformity across sources, reducing discrepancies.
Efficient Resource Utilization: Selective column extraction minimized unnecessary data processing and storage requirements.
Streamlined Transformations: Segregating transformations across layers improved pipeline clarity and reduced complexity.
Scalability and Maintenance: The layered approach allowed for easier scalability and adaptability to new data sources or requirements.
Qualitative Impact:
Traceability & Auditability: Enhanced data lineage tracking and simplified debugging with raw data in the bronze layer.
Governance: Improved data governance through a structured, well-defined approach.
Collaboration & Maintainability: Clear layer separation made the pipeline easier to maintain and adapt.
Reduced Reporting Complexity: Clean gold layer dataset reduced complexity in Power BI reports.
Business Decision-Making: Timely, accurate insights supported better organizational decision-making.
Quantitative Impact:
Data Quality: Reduced data discrepancies by 15%, improving the reliability of Power BI reports.
Performance: Faster data processing with a 30% improvement in processing time and reduced query time for reports by 25%.
Scalability: Enabled scalable pipelines, supporting a 50% year-over-year growth in data volume.
Conclusion
Both approaches demonstrate a commitment to utilizing Microsoft Fabric Lakehouse for effective data management and analytics. However, the Standardized Medallion approach implemented by our team adheres more closely to the medallion architecture’s principles, enabling improved efficiency, scalability, and governance. By leveraging the bronze layer for raw data ingestion, the silver layer for standardization, and the gold layer for advanced transformations, this methodology ensures a robust foundation for delivering impactful insights through Power BI.
Our client was in search of a streamlined solution that would serve their purpose of delivering information on the sales of their products for marketing and predictive analytics. Essentially, they needed reports which would help them make smart decisions for generating more revenue.
A sales analysis report shows the trends that occur in a company’s sales volume over time. In its most basic form, a sales analysis report shows whether sales are increasing or declining. At any time during the fiscal year, sales managers may analyze the trends in the report to determine the best course of action. Managers often use sales analysis reports to identify market opportunities and areas where they could increase volume.
Our client used to follow a manual paper-work based recruitment process. He had to manage a lot of data in excel sheets. The process was tedious and error prone. On the top of that, they could not afford to spend time in manually analysing the valuable information they captured.
It’s of the utmost importance to manage and monitor employee performance in an organization for the growth of both the individual and the firm.
The year 2020 started on a bitter note as COVID-19 (Novel Coronavirus) outbreak started from Wuhan, China slowly spread across the world. With no vaccination and cure available for the virus, the victims entirely relied on their immune system, causing more than 8000 deaths in the first three months of the outbreak.
Thus, we decided to put all the numbers and stats available across various sources and create a report which not only summarizes all the fact data into a well-arranged dashboard, increasing the understandability and value of the data, but also provides all the latest news about the outbreak from major sources around the globe, and spreads awareness.
Financial analysis refers to an assessment of the viability, stability, and profitability of a business, sub-business or project. It involves using financial data to assess a company’s performance and make recommendations about how it can improve going forward.
In a nutshell, it is the process of evaluating businesses, projects, budgets, and other finance-related transactions to determine their performance and suitability.
Campus Placements/ Campus Recruitment drives are conducted in various educational institutes for providing job opportunities to the students who are pursuing their particular academic courses. As much as it is important to the students, it is also important to the institute as it gives a chance to contemplate about the process. This data includes students from various colleges.
Microsoft Dynamics 365, A customer relationship management software package developed by Microsoft itself is one of the fastest emerging cloud CMS till date. Thanks to its efficient extensibility and wast expansion abilities. It helps streamlining various aspects of customer relation management like Leads, Opportunities, Sales, etc.
Since reporting capabilities provided by D365 are limited, we decided to develop a report which gives user a brief summary and detailed analytics about Leads and Opportunities recorded in their D365 instance. Since its a generic report, it runs smoothly on any instance without requiring any modification / customization.
A fair is a gathering of people for a variety of entertainment or commercial activities. A survey was held to gather information about the people who attended the fair. The idea is to study interests of people using which they learn about different aspects about organizing the fair next time.
The idea of the visual representation of the Campus Recruitment data is to give synopsis of the overall process and strengths and weaknesses of their students to the College Authorities. It should only focus on the performance of their students.
Human resource planning is a process that identifies current and future human resources needs for an organization to achieve it’s goals.It should serve as a link between human resource management and the overall strategic plan of an organization.
HRP starts by assessing and auditing the current capacity of human resources. Hence, we were asked to take up the job of transfiguring the mystifying numbers of the current capacity of human resources to captivating visuals which puts across each and every information with utter clarity.
Note: The data shown above doesn’t represent actual data and has been created for showcase purpose. The Challenge An accident analysis program is equally important as accident prevention in establishing trends and curbing future accidents. Accident case analysis determine how and why safety failures occur, and what is the status of their cases in court, what… Continue reading Accident Cases Analysis
A hospital wanted us to help them with predictive analytics and forecasts for various aspects of the healthcare sector. Power BI was their first choice because of versatility of reports offered.
One of our Insurance domain client wanted to keep track of his business being executed at different locations. They also demanded that the report should not be difficult at all to understand. They wanted a report that helps them to know that which regions, branches and policies are doing more business and which are doing less based on that they could take appropriate actions for increasing their business.
The real estate sector is one of the most globally recognized sectors. Emergence of nuclear families, rapid urbanisation and rising household income are likely to remain the key drivers for growth in all spheres of real estate, including residential, commercial and retail.
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