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Managing data effectively is the backbone of modern business success. Migrating to AWS cloud from traditional servers offers transformative benefits. These include scalability, cost efficiency, and enhanced innovation.
As businesses adapt to evolving challenges, cloud adoption is accelerating. However, a smooth migration requires careful planning and a structured approach.
For businesses feeling overwhelmed, AWS migration services can offer expert guidance and collaboration to architect, build, migrate, and manage your cloud efficiently. By carefully selecting tools, strategies, and cloud types, you'll ensure a successful transition that aligns with your objectives.
Businesses looking to scale with modern technology can explore this guide that explains on-premise to AWS cloud migration step by step.
Embarking on a cloud migration journey without clear goals is like setting sail without a destination.
The first and most crucial step is to define your business objectives and create a comprehensive migration plan.
Start by asking, “What is the purpose of my cloud migration?”
In reply, you’d possibly land at either of the following reasons:
Tracking and evaluating massive amounts of unstructured and redundant data can be a significant challenge for businesses. This is especially true when dealing with high traffic data or multiple processes simultaneously.
Traditional data management systems often lead to siloed data, poor quality, inconsistencies, and duplication.
AWS provides:
AWS’s S3 Versioning feature allows businesses to store and recover multiple versions of an object within the same bucket. It ensures easy restoration of data after accidental deletion or overwrites.
When an object is deleted, a delete marker is added instead of permanent removal, allowing for quick recovery. Similarly, overwriting an object creates a new version while retaining access to previous ones, enhancing data protection and recovery.
AWS Backup is a fully managed service that simplifies and centralizes data protection across AWS services, cloud, and on-premises environments. It automates backup tasks, eliminating the need for custom scripts and manual processes.
With easy configuration of backup policies and schedules, AWS Backup enables you to monitor and manage your data protection in one place. This results in efficient disaster recovery and minimizing downtime.
If a business is facing high infrastructure costs, migrating to AWS cloud can help reduce them. With AWS's pay-as-you-go model, you only pay for the storage and resources you’re actively using without upfront commitments. This ensures costs align with actual demand.To optimize further:
AWS enables advanced encryption through the Key Management Service (KMS), allowing businesses to implement hybrid encryption. This combines the speed of symmetric encryption for bulk data with the security of asymmetric encryption for key exchange.
By using KMS, businesses can:
Here’s how you can effectively prepare:
Leveraging frameworks like the AWS Cloud Adoption Framework ensures a collaborative action plan that transforms cloud aspirations into reality.
The second step in an AWS Cloud migration strategy involves assessing your current IT portfolio and identifying interdependencies. It also includes determining the best migration strategy for each workload.
Migrating to AWS cloud effectively calls for the right tools, methods, and cloud type. Here’s how businesses can do so.
Assess and Select Migration Tools:
Amazon Web Services offers a robust suite of migration tools to simplify the shift from on-premises systems to the AWS cloud. Businesses can choose from and utilize them as per their requirements.
Choose a Migration Strategy:
Select Your Cloud Type:
Based on your goals, choose from:
A well-thought-out design ensures your AWS migration is efficient and scalable. This phase focuses on aligning your cloud architecture with business objectives, optimizing performance, and laying the groundwork for seamless implementation.
This phase transitions your design into action, migrating applications and data to AWS while ensuring optimal performance through thorough validation.
Start with a Proof of Concept to fine-tune processes before full-scale migration. With a focus on precision and testing, this step ensures a seamless transition and a resilient cloud environment.
A successful AWS cloud migration requires a well-prepared team equipped with the right mindset, skills, and expertise.
Preparing your team ensures they are well-equipped to handle the complexities of migration, allowing you to maximize the benefits of your new cloud environment faster and more effectively.
Follow these steps to set your team up:
Cloud security should be a primary lookout for enterprises while migrating to AWS cloud. Secure your data in the following steps to stay compliant:
Completing your cloud migration is just the beginning. To fully reap the benefits of AWS, focus on continuous assessment and optimization.
By focusing on long-term optimization and proactive management, you ensure your AWS migration remains a catalyst for innovation, efficiency, and growth.
While it might look like just the “IT” trend right now, migrating to AWS cloud is rightfully so and more.
It is a necessity that can propel your business forward in the following ways:
Cloud migration unlocks unparalleled potential for agility, efficiency, and innovation—just ensure you address potential challenges to fully harness its power.
AWS, the global cloud leader with over 200 advanced services, provides secure, high-availability solutions designed to support long-term business growth.
Undoubtedly, migrating to AWS cloud offers a powerful opportunity for operational transformation.
Especially with Sundew’s tailored expertise, modern enterprises can embrace a strategic approach to this transition. By prioritizing seamless integration and efficiency, businesses can optimize workloads, streamline operations, and achieve excellence in their cloud journey.
Thoughts and Trends Across Our Focus Areas
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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.
How to Maintain Your Website’s SEO After a Redesign
A total site redesign is a tricky thing. At some point, you must redesign your site, but when you do, you run the risk of your traffic dropping off. Redesigning a site is one of the biggest SEO challenges that a company can face.If you are currently redesigning your site or planning on a full site renovation in the future, here’s what you need to identify:What should you do during the redesign process?While you are redesigning your site, you need to keep a few things in mind. Some of these things may not seem important to you, but leaving any of them out is an easy way to cause a huge traffic drop.Never take down your siteAt no point should you pull your old site offline unless it needs to go under for a few minutes as you launch the new design. When visitors encounter a website that says “sorry, we’re under construction” for several weeks, traffic declines before the new site goes live.Re-examine your keyword strategyRedesigning is the perfect time to evaluate your existing keyword strategy. Take a look at your organic keyword traffic, and find out if your site could be gaining traffic from any new long tail keywords.Optimize all content with right keywordsYou should also be reviewing content on each page prior to your site redesign. Sometimes things can get changed in the process. Titles are altered; meta descriptions are dropped; and SEO gets marginalized. Don’t let this happen to you. Instead, pay close attention to optimizing all content on all pages.Maintain the same URL structure as much as possibleIf you can, keep your URL structure the same. Whenever you change a site’s URL structure, you lose vast amounts of traffic from inbound links.Create a comprehensive 301 URL redirect mapping strategyNearly every site redesign will have some pages that will be mapped to a new location. It’s important to have a complete plan in place for redirecting every such page. Every single rewritten URL must have a 301-permanent redirect.Create an effective customized 404 error pageSince the new site will probably experience a few 404s, you should have an optimized 404 page in place.Create new sitemaps (HTML and XML)You should always have an up-to-date sitemap, but it’s especially important for a site launch or redesign. If any content has moved to new URLs, the sitemap can help the search engine discover these new locations.Put tracking codes in placeWhen you’re sure everything is ready, place your analytics tracking code in the page source. Any conversion landing pages should also be tracked with the relevant codes.Watch the Google index statusKeep an eye on how things are indexing in Google. You want to make sure that Google is indexing your entire site.Watch your trafficTraffic is a critical metric for measuring the success of your new site’s SEO. Keep close tabs on everything that happens with your traffic patterns.A redesign should be an opportunity to improve your SEO and conversion rates. However, for sites with strong organic search traffic, this should be undertaken with care to preserve your SEO. Following the instructions in this article should ensure you only see positive improvements. For further information, get in touch with us at +91-98367-81929.
Top 5 Insurance Industry Trends to Watch Out In 2024
Internally, this industry is plagued by issues like ever-evolving customer demands, enhanced risk exposure, changing regulatory compliances, and increased occurrences of fraud.Adopting new digital trends is imperative if this sector wants to negate the effect of the above-mentioned factors. These trends also gain significance because they simplify the daily life of customers and employees alike by:Creating an intuitive, frictionless customer experienceReducing low-value, repetitive manual efforts put in by employeesImplementing Integrated Risk Management(IRM) initiativesThe insurance sector is a late bloomer in the field of technology adoption. It has, however, progressed to adopting Data Analytics and data-generated insights. Leveraging them has helped this industry to understand customer needs and preferences and pinpoint new growth opportunities.The ongoing digital transformation process, as illustrated by the integration of new technologies like IoT and AI, is making this sector increasingly competitive. Keeping up this momentum in 2024 will enable it to digitize the products and services offered, enhance customer engagement and drive inclusive sustainabilityAdditionally, for a perceptibly customer-centric industry, the ongoing tech transformation has exponentially escalated customer demands and made them more powerful. The ability to compare products for prices and suitability with just a few clicks has placed improving customer experience at the center of all upcoming insurance trends.ESG compliance to remain a key focusThe insurance sector faces a unique issue. Along with being evaluated based on their sustainability reports, insurers are also appraised on initiates taken to address carbon emissions, enable workforce diversity and increase governance transparencyGovernment and other such authorities have even introduced compliances that make it imperative for insurers to transition to a low-carbon economy and initiate procedures to manage climate-related risks better. Insurance companies are also swiftly realizing the commercial advantages of becoming Environmental, Social, and Governance(ESG) compliant. Statistics show that 85% of global insurers consider better ESG compliance necessary to transform brand reputation, investments, underwriting, risks & internal audits. Consequently, ESG compliance is now a competitive differentiator, and insurers must proactively focus on implementing initiatives to meet ESG requirements. Popularity of underwriting workbenchesInsurance underwriting refers to the process of assessing the risk potential of a customer. Underwriters have to analyze the business based on several factors, define the acceptability of the risk posed, and calculate a fair price for the coverage to be offered. The criticality of the work involved makes underwriting ideal for implementing automation, thus giving rise to the concept of the underwriter workbench.A centralized workspace containing a collection of all digital tools necessary for the successful execution of the underwriting process, is referred to as the underwriter’s workbench. They are a relatively novel concept. Underwriters have recently realized the convenience of using digital tools to quicken the entire process and make it more accurate. Additionally, the widespread use of automation, Artificial Intelligence, and Machine Learning in other insurance processes has catalyzed the adoption of underwriter workbenches. This accounts for the rapid rise in its popularity in the recent past.AI and process automation to lead from the frontThe digital transformation of other sectors has given customers a taste of a frictionless and convenient experience. Today, they expect the same standards from the insurance sector. Hence, process automation is mandatory if this sector wants to meet these customer expectations quickly. A report published by McKinsey predicts that by 2040, 55% of all insurance processes will be achieved using AI or Artificial Intelligence and ML or Machine Learning. McKinsey further states that automation will reduce the cost of a claim process by as much as 30%, which is substantial.The start of this trend is already evident in the collaborations insurance carriers are building with insurtechs. Leveraging the AI-based business model of these insurtechs is helping insurance carriers to evolve and adapt to the rapidly transforming business landscape. Capitalizing on the efficiencies generated by RPA, AI, Big Data, and Analytics will further help these carriers to streamline their operations and lower costs. They will also witness higher growth by meeting customer expectations and enhancing data security. Further, AI, as a technology driver, is responsible for giving rise to a critical trend in the insurance sector. This trend will lead to the massive evolution of the insurance sector with large-scale integration of AI, automation, and deep learning. Insurance players who evolve with this changing landscape will continue to thrive, but those still holding on to conventional systems might be forced to re-examine their strategies.Partiality toward Low-Code developmentThe insurance sector primarily needs a user-friendly and efficient website that can enhance customer satisfaction. The affinity for low-code websites in the insurance sector is a direct outcome of this need. Low-code websites typically have significantly fewer lines of code written compared to a traditional website. Such websites can be easily and quickly updated without undergoing the cumbersome website redevelopment process. With customers’ appetite for the latest information evolving rapidly, this accelerated time to market for insurance sector applications has proved a boon.This is further corroborated by statistics as shared by Garter, which shows a growth of 22.6% in the market share of low-code digital insurance platform development. Alternatively, the development of high-end customized websites has declined by 23%. This proves the legitimacy of low-code development as a leading trend in the insurance sector for 2024.Preference for self-service capabilitiesCurrently, most insurance companies utilize the services of call centers and other such channels to handle customer queries and requests. But with workflow digitization resulting in increased customer convenience, there is a perceptible preference for self-servicing capabilities. Irrespective of whether the insurer is tech-savvy, there is universal gravitation towards automated processes. Today, customers want to self-manage policies, make premium payments, and raise and submit claims using self-service portals. With such high demand, insurance companies must upgrade their capabilities and opt for complete workflow digital transformation. Opting for this trend will prove to be counterproductive as insurance companies will benefit from:Reduced customer acquisition costsHigh customer retentionIncreased insurance agent productivityQuicker and less costly claim processesEnhanced customer loyalty resulting in better referralsFurther, implementing data analytics will empower insurance companies with customer behavioral data. They can provide personalized services and offer real-time assistance based on the same.The active adoption of the above trends for insurance digital transformation is no longer an option. It is a necessity that promises to lead the insurance sector toward offering enhanced customer experience, saving operational costs, and innovating products and services. For a sector that has conventionally enjoyed stability and predictability, driving the above trends will help it to navigate the current uncertainties and achieve some semblance of the same stability and predictability.
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