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Technological advancements and economic trends drive the business world's dynamic and constant evolution. To stay viable in this fast-paced business environment, the need for digital transformation has become more relevant than ever. The rise of new-age technologies like Artificial Intelligence, Web3, and Metaverse has made the message loud and clear.
The rapidly changing digital landscape has made digital transformation one of the top corporate agendas for the past few years, with no signs of slowing down. The Google Trends search volume also indicates that businesses should focus more on digital change to gain a distinctive edge in this cut-throat competition.
Deploying next-gen technologies at scale continuously helps them create value and respond better to market changes. While digital transformation seems exciting, most businesses feel overwhelmed and need help figuring out where to start. This article is a comprehensive guide to starting your transformation journey through a planned and holistic approach while identifying the key challenges. Furthermore, considering the budget and time constraints, it is ideal to outsource it to an experienced digital transformation company to make the transition efficient and smoother.
Digital transformation implies companies utilizing modern and cutting-edge technologies to modify business processes or create new processes to drive fundamental changes. The benefits? Improved customer experiences, enhanced business efficiency, reduced costs, and better business agility.
Digital transformation refers to adopting new-age technologies and redefining business processes to stay competitive and relevant. For most business entities, digitization necessitates a shift from conventional thinking to a more collaborative and experimental business approach.
Digital transformation drives positive changes in the organization's operating model, workflows, and cultures. Accelerated digital change by embedding advanced technologies helps a business outpace its peers and stay ahead of the curve. So, tech investments such as Artificial Intelligence, data analytics, machine learning, and cloud computing are the need of the hour.
To simplify further, we list the five most prominent reasons for your organization's digital transformation strategy.
Artificial Intelligence and Machine Learning can help automate repetitive manual tasks and accelerate the work process. AI is an automation technology that trains machines to imitate human-like intelligence. AI-powered tools continuously learn and update themselves to act and produce responses like humans.
Leading-edge technologies like AI, ML, and cloud migration streamline business operations and reduce inefficiencies, boosting productivity.
Embracing new technologies helps an organization adapt to rapid market changes and lead the market with novel offerings.
Data analytics tools can help businesses predict and identify market trends and make informed decisions. You can move beyond instincts and guesswork and make business-critical decisions based on concrete insights and data on past customer behaviors and trends.
By introducing technical innovation, you can personalize customer experience, offer tailored solutions, and elevate customer satisfaction. If you are still deciding whether technology adoption should be on your priority list now, here is Statista's latest report to clarify your thoughts. As of 2023, more than 92% of the global digital transformation leaders, both small and large, have adopted cloud technologies. The second most popular adopted technology is Big Data analytics, followed by the Internet of Things (IoT) and Robotic Process Automation (RPA).
Source: Statista
Before beginning the transformation journey, every business must walk through the digital learning curve comprising three distinct phases - modernization, enterprise-wide transformation, and new business creation, to ensure a successful transformation. Let's get into their details one by one.
As the name implies, modernization implies digitizing existing business processes or workflows to make them more efficient and user-friendly. One example is creating a mobile application for your customers or introducing new touchpoints for self-service to drive conversions faster. Furthermore, automating HR processes through an easy-to-use employee portal modernizes the employee experience and simplifies HR operations.
This stage primarily involves a company's fundamental shifts in the value propositions, mainly how it operates and competes. Enterprise-wide digital transformational efforts aim to improve existing processes and introduce new processes while aligning with traditional silos.Real-world examples are Adobe and Microsoft, which offer digital subscriptions to their software applications instead of CD-ROMs.
Step three is about expanding or scaling your business and opening new revenue streams. It could involve integrating big data analytics to forecast market trends and patterns to optimize business performance or shifting to a new business model using new tech-driven strategies.Transitioning from traditional operations to new ones is challenging, but with the right kind of leadership, a business can rethink its boundaries and push itself to new limits.
A successful digital transformation opens doors to significant growth and expansion while enhancing customer experience that was previously thought impossible, especially for small and mid-sized businesses. However, with proper planning, digital transformation strategy, and execution, this type of transformation is easy to achieve.
There are four key areas that you need to consider to give your business a digital change.
Process transformation is a thorough assessment of your existing business processes or systems to identify the prime areas for improvement and find better ways to address the challenges. This transformation aims to boost the company's efficiency and streamline operations by integrating emerging technologies.
Planning new result-oriented strategies, establishing baseline metrics, and mapping out the best-case scenario are three fundamental steps in process transformation. Following this roadmap can bring drastic changes and modernize your business processes quickly.
Technology-enabled business models create new customers' value propositions and generate new market opportunities. Simply put, a business transformation redefines how an organization operates and delivers customer value. The process involves adapting to market changes, encouraging competitiveness, and enhancing performance. Take the case of leading brands with platform-based business models like Amazon and Uber. They are leveraging digital technologies to connect buyers and sellers or service providers and create new marketplaces for higher revenue generation.
Domain transformation works when there is any area in your business that receives less attention yet holds enormous potential to create new business value. Implementing new technologies and redefining those areas of services or products results in a domain transformation, opening up new growth opportunities. The best example here is the launch of Amazon Web Services (AWS) by top online retailer Amazon, using which it entered a whole new market domain. AWS's reliable and cost-effective cloud services have made it the world's largest cloud infrastructure service provider in today's time.
A successful digital transformation is more than just implementing new technologies, modernizing work processes, and redesigning products. It includes acceptance by the organization's culture to align perfectly with its internal values and cultures. Negative repercussions might result in slow technology adoption and loss of productivity and, thus, revenue. So, what do you need to do? While venturing into your digital transformation journey, you make a collaborative and comprehensive effort to smoothly shift your organization's culture to comprehend, advance, and adopt technology transformation.
Digital transformation is not a cakewalk! It is a challenging process that requires time to show results. However, with the correct attitude, planning, and implementation, technological change can be brought about and evolved along with the process.So, here's a rundown of the steps to creating an ideal transformation plan.
As we already discussed, digital transformation can affect four areas of an organization. So, first, pinpoint the exact areas that need special attention and set specific goals for business transformation. Identifying your transformation objectives will help you develop an efficient plan of action. Any business plan works on two pillars: a mission to define its purpose and a vision to steer the path it serves. When the answers to these questions are clear, you are all set to go!
You already have a business strategy that states your core functions, goals, and mission for the next few years. But is it still relevant, given the fast-paced evolution of the digital landscape? You need to reevaluate your existing strategy and see whether it is still right in place. Carefully review your existing model, challenge it, and make way for innovative and advanced transformation to boost productivity and efficiency.
The ultimate goal behind digital change is to enhance customer experience. To do this, you need to rethink your customer value proposition, figure out how to add more value to your customers and reach a broader market. Considering customer requirements first plays a critical role in driving the business transformation's success. Digital interactions through effective user management and communication channels improve customer experience with products or services. For instance, IoT sensors for washing machines allow users to remotely adjust water temperature and be notified when a cycle finishes.
Pursuing digital transformation efforts is difficult with the old or existing business strategy. Hence, plan and develop a new business model that aligns with your transformation needs.To achieve long-term success, your business process must be in sync with your digital business transformation goals.
Digital transformation is only possible with digital technology adoption. So, the next thing you need to do is identify what technologies you need to integrate into your business process to achieve your goals. It could be anything, from cloud computing to artificial intelligence and data analytics to blockchain. Whether you want to streamline operations or stir up business workflows by gauging time and cost, choose the technologies that fit perfectly with the requirements and meet the organization's standards.
This is the phase when you are ready to put your intent plan into action after completing all the preparatory steps. Also, once you have all the technology infrastructure you need, you can jumpstart your transformation process. Remember, it is not a one-day task. It comprises several stages, each of which may take weeks or even months. Most importantly, follow a collaborative approach in which every team member comes together to evaluate progress, analyze problems, and find ways to address them.
Sustaining your transformation model for the future is essential to continue reaping its benefits later. Strategic planning and adaptation to changing business environments are necessary to ensure high performance and successful results in the upcoming years. During the transformation, your business can face challenges that might give a setback or get opportunities that will drive its success. In both scenarios, you need to learn from the lessons that you can use later to create foolproof business strategies for the future.
The path of transformation is not a race you must finish in a single stretch. It is an incremental process involving several stages, and it is natural for businesses to face obstacles or challenges for the first time. However, this should not refrain from embracing the idea of transformation and continuing with the age-old process.
Digital transformation takes time, but the results are certainly worth waiting for. If you focus on the right digital transformation technologies, have the best team, and have a perfect long-term vision, results will follow automatically. Once you master the skill of digital transformation strategy and identify the channels through which you need to put them into practice, there is no looking back.
Looking to embark on a digital transformation journey?
Our expertise in digital transformation ensures a seamless transition, enhances end-user experience, and keeps pace with the ever-changing market landscape. We have successfully transformed esteemed digital brands like Liberty Homeguard, P.C Chandra Jewellers, and Grid. Backed by over 17 years of hands-on experience and twenty prestigious global awards, Sundew is your go-to partner for all your tech aspirations.
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Select the Right BI Tool: Difference between Power BI and Tableau
Power BI and Tableau are leading tools in the Business Intelligence (BI) space, widely used for collecting, integrating, analyzing, and presenting business data. These platforms empower organizations to analyze data, manipulate it for deeper understanding, and visualize it to reveal actionable insights. When choosing which tool to learn or implement, professionals and researchers often find themselves weighing the difference between Power BI and Tableau.Understanding the Difference between Power BI and TableauPower BI, offered by Microsoft, is an all-encompassing analytics service designed to help users analyze, visualize, and share data seamlessly across an organization. Conversely, Tableau excels as a BI tool that efficiently handles data flow and transforms raw data into interactive visualizations that provide actionable insights. Both tools are powerful in their own right, but understanding their distinct features can guide users in selecting the one that best fits their needs.Power BI and Tableau: A Comparative StudyAdvantages and Disadvantages of Power BI and TableauBesides understanding the basic difference between Tableau and Power BI, it’s important to know about the individual pros and cons of each when choosing the right data visualization tool for your enterprise.Advantages of Power BI:Cost-Effective: Power BI offers a range of pricing options, including a free version and affordable premium plans, making it accessible for various organizations.Microsoft Integration: It integrates seamlessly with Microsoft products like Excel and Azure, enhancing productivity and data connectivity.Built-in AI Features: Power BI includes features like natural language queries and automated insights, helping users uncover trends and anomalies quickly.User-Friendly: The interface is intuitive, especially for those familiar with Microsoft tools, making it easy to start building reports and dashboards.Efficient Performance: Businesses can redefine their data usage with embedded Power BI, which has fast data refresh rates and real-time analytics capabilities, ensuring timely insights.Disadvantages of Power BI:Limited Customization: While Power BI offers many built-in visuals, customization options are less extensive compared to Tableau.Complex Data Modeling: Advanced data modeling scenarios can be challenging and may not be as robust as Tableau’s offerings.On-Premises Limitations: The on-premises version lacks some features available in the cloud service, potentially limiting functionality.Handling Large Data: Performance may degrade with very large datasets or highly complex queries.Integration Challenges: Integrating with non-Microsoft products can sometimes be cumbersome.Advantages of Tableau:Advanced Visualizations: Tableau provides a wide array of visualization options and customization features, allowing for detailed and interactive data presentations.Handles Large Data: It efficiently manages large volumes of data and complex queries, providing robust performance for big data scenarios.Flexible Data Modeling: Tableau's data modeling capabilities are highly flexible, accommodating a range of complex data relationships and structures.Diverse Deployment Options: Offers various deployment methods, including cloud, on-premises, and public, catering to different organizational needs.Strong Analytics Support: Integrates well with R and Python, enabling advanced statistical analysis and machine learning.Disadvantages of Tableau:Higher Cost: Tableau’s pricing is generally higher, which may be a consideration for smaller organizations or those with limited budgets.Learning Curve: The extensive features and customization options can result in a steeper learning curve, especially for new users.Performance Variability: Performance can vary based on the complexity of visualizations and the size of data sources.Complex Integration: Integrating with products outside of Tableau’s ecosystem can sometimes be complex and require additional setup.Mobile Experience: While functional, the mobile experience may not be as polished or intuitive as that of Power BI in some cases.Power BI vs Tableau: Which Should You Choose?The choice between Power BI and Tableau largely depends on your specific needs and goals. Both tools offer powerful data visualization and analysis capabilities. However, the difference between Power BI and Tableau lies in the former being more affordable and easier to integrate with Microsoft products and the latter excelling in advanced visualizations and complex analytics. Ultimately, it’s important to consider factors like cost, system compatibility, data complexity, and certification options before making your decision.
E-commerce solutions in the COVID19 World – How they will re-shape industries
Coupled with the vulnerable condition of our health, COVID 19 has also hit the world economy hard. Production has slowed down due to the unavailability of raw materials, the absence of labor and the companies are finding it extremely challenging to cope with the towering manufacturing price. In this ‘war-like economy’ how does one survive and sustain? Here, we have tried to highlight some methodical e-commerce solutions by which a business will be able to avoid extinction during this global crisis. Due to the declining demand for certain luxurious products, devastating supply chain, difficulties in getting inventory from the suppliers, and delivering it to the customers, many businesses have already stumbled, and some of them are tottering. As brick and mortar shops are rolling down their shutters due to the worldwide lockdown, the shop owners also have flocked online to continue their business. Are you focusing more on selling ‘need to use’ products than ‘good to use’ products?It is time to rethink these lines and how you position your product line. In this scenario, choosing a customized e-commerce solution for your brands and enterprises is crucial to reach out to your customers and ensure a faster ROI.Welcome the Novice shoppers with a Simplified E-commerce solution!As social distancing is the only effective master stroke one has, against the bio war, most of the customers would turn their heads from the physical grocery stores to online. The people, who have never been used to buying their essentials in the online cart, may find it difficult to perform their shopping. For the newbies and not so tech-savvy shoppers, simplifying the e-commerce solution is the one way or the highway to boost your sale! Top E-commerce giants are now focusing on speed and simplicity to drive mobile conversion. According to the experts interviewed by Business Insider Intelligence, it is becoming faster and easier in various facets of mobile checkouts. Make shopping easier for your buyers with Advisory Services and better information!With the evolution of AI, chatbots have made their way to e-commerce in recent years. Chatbots are primarily generated to respond to the customer’s queries about payment, delivery, and products.The chatbots now go beyond this limit by providing shoppers with a customized shopping experience. Would it not be amazing if customers could say, "Alexa, show me the shoe ideal for my morning jog."There must be many times when customers discover that they could get their favorite bag at almost half the price they invested. A virtual shopping assistant reflects shipping pop-ups and offers discount codes. So, if a customer always feels guilty about their impulsive shopping decision, they will get a shopping companion even at the wee hours.In the age of personalization and recommendations, your e-commerce site should be “U-commerce” for the Customers. Many celebrated coffee companies are now leaning towards AI to track customers’ coffee preferences and sell the exact kind of coffee they love to taste.So, how can they sell coffee brewed by Artificial Intelligence?The buyers are instructed to scribble down his/her expectations and preference of coffee by filling a form reflected in the chatbot. Later, after having that coffee, they are also encouraged to provide feedback regarding the taste and flavor in another questionnaire. Launch a Sharing Economy Business Model: Give Access instead of OwnershipBecause of the vulnerable financial state of many of your buyers in Post-pandemic time, you may experience a noticeable decline in the business. With the access economy, your customers can access or use your products without owning it. It won’t also burn a hole in their pocket as they do not need to bear the high purchasing cost.A reputed company in the USA has launched a monthly vehicle subscription service to provide a daily commute opportunity and weekend driving thrills to the car lovers via mobile app. Also, a car company in Germany followed the footsteps which reflect their agenda, "Own the experience, not the car". Along with adopting innovative business models, using social media to promote your business post-COVID-19 can further help brands connect with cautious but digitally active customers.E-commerce as a Service in the New World! A leading American furniture company sells furniture as a renting service in workplaces. Instead of purchasing the office equipment and the ergonomic furniture, the clients can rent them against a monthly charge. This solution proves to be quite a convenient and cost-effective option now when the workplaces are shifting to home. You can rent a similar chair and desk which you were comfortable using in your office. Provide a Brand New Shopping Experience to your Customers! Make it Fun with More Discounts and Surprises!Think about the Surprise Boxes for the subscribers available for quite a time already in the market! Those surprise boxes are packed with new stuff so that the customers explore something new every time.Regarding this, an excellent approach has been taken by a growing cosmetics e-commerce sector in the USA. They are now emphasizing more on giving discounts more on self-care products. Their monthly subscription boxes are adorned with wellness goodies that provide relaxation in the depressing lockdown. They arrange special gift coupons with interesting contests like: “Share a therapist-curated activity & get a product from us essential for your beauty regime at half price!” This sounds amazing! Isn’t it?Now, what makes a user-friendly robust, scalable, and also data-driven eCommerce solution?Custom E-commerce SuiteData-driven evaluation techniques for business insightsMultiple Device Responsiveness-Take your business at your Customer’s fingertipsIncorporate more mobile-friendly features in your e-commerceMake your site 100% compliant with Cybersecurity GuidelinesWe have tried to discuss ideas and directions to help you re-imagine the way you do business in the ‘New Normal’ scenario. If you are looking for more ideas for innovative solutions to be back in the game, Email us or talk to us at +91-98367-81929
The Future of Banking - AIs Impact on Financial Services
The integration of artificial intelligence (AI) is reshaping the way banks operate, interact with customers, and make decisions. As we stand on the cusp of a new era, it's crucial to delve into the revolutionary changes AI brings to banking and envision the future for financial institutions and their customers.AI as a Catalyst for TransformationIn a recent Deloitte survey, 86% of AI adopters in the banking sector foresee AI becoming the major driving force for their business growth within two years. AI acts as a catalyst, ushering in transformative changes across various facets of the industry, including operational efficiency, customer experience, fraud detection, credit scoring, financial planning, and data security.Operational Efficiency EnhancementAI's impact on banking operations goes beyond streamlining processes to deliver a more secure and reliable user experience. By reducing manual errors through the processing of large datasets, AI integration becomes a groundbreaking addition, simplifying operations and cutting operational costs. The use of AI-driven Robotic Process Automation (RPA) further automates repetitive tasks, offering cost-effective and smooth operations while opening doors to new revenue streams.Revolutionizing Customer ExperiencesIntegrating AI into traditional banking systems enhances connectivity and smooth customer interactions. AI analyzes and understands customer needs, facilitating more relevant touchpoints. Chatbots and visual assistance, available 24/7, transform customer handling, delivering accurate information and services. AI-driven chatbots and virtual assistance improve real-time customer interaction, seamlessly managing both simple and complex operations, from fund transfers to personalized financial advice.Fraud Detection ReinventedAI revolutionizes fraud detection by continuously monitoring and analyzing anomalies in banking operations, detecting suspicious patterns, and notifying against fraudulent activities. Beyond detection, AI provides real-time preventive measures, such as temporarily blocking transactions when encountering fraudulent activity, strengthening the banking sector's defense against sensitive data exposure.Empowering Improved Credit DecisionsAI reshapes financial services by enhancing credit scoring and decision-making processes. Analyzing large datasets, including unconventional data, AI-driven banking systems consider a wide range of factors, leading to safer and more profitable credit decisions. This technology aids in processing loans by assessing credit history, patterns, and customer behavior while also detecting unusual patterns and behaviors to minimize the risk of default.Data Security and Compliance AssuranceIn an industry where data security and compliance are paramount, AI ensures regulatory compliance, safeguarding the integrity of the banking sector. Strengthening data security and compliance, AI aids in adopting regulatory changes and transformations required for banking services, maintaining a robust security approach.The Future of Banking with AIAI serves as an innovative solution, offering accurate, secure, and efficient decision-making for financial operations. Predictive analytics, financial planning, and the integration of AI with blockchain emerge as key elements shaping the future of banking. Predictive analytics designs tailored products and services, promoting effective risk management, while financial planning provides accurate advice based on market trend forecasting. Integrating AI and blockchain ensures additional security and automation, supporting efficient financial planning and informed decision-making. AI stands at the forefront as the future unfolds, shaping a dynamic and efficient landscape for the banking industry.
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