#enterprise data & analytics solution

[truetechreview]

Ultimate Guide to DeepSeek AI for Business Growth

Table of Contents of DeepSeek AI for Business Growth1. Introduction: Why AI is Essential for Modern Business Growth2. What Is DeepSeek AI?3. Top 5 DeepSeek AI Tools for Scaling Businesses3.1 Demand Forecasting Engine3.2 Customer Lifetime Value (CLV) Predictor3.3 Automated Supply Chain Optimizer3.4 Dynamic Pricing Module3.5 Sentiment Analysis Hub4. How DeepSeek AI Reduces Costs and Boosts…

[indianreporter]

[goodoldbandit]

Data Unbound: Embracing NoSQL & NewSQL for the Real-Time Era.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how NoSQL and NewSQL databases revolutionize data management by handling unstructured data, supporting distributed architectures, and enabling real-time analytics. In today’s digital-first landscape, businesses and institutions are under mounting pressure to process massive volumes of data with greater speed,…

[tudipblog]

IoT in Action: Transforming Industries with Intelligent Connectivity

The Power of Connectivity

The Internet of Things (IoT) has become a cornerstone of innovation, as it reimagines industries and redefines the way business is conducted. In bridging the physical and digital worlds, IoT enables seamless connectivity, smarter decision-making, and unprecedented efficiency. Today, in the competitive landscape, intelligent connectivity is no longer just a technology advancement; for businesses wanting to be relevant and continue to thrive, it is now a strategic imperative.

IoT is not simply about connecting devices; it’s about creating ecosystems that work collaboratively to drive value. With industries relying heavily on real-time data and actionable insights, IoT-powered connectivity has become the backbone of operational excellence and growth. Let’s explore how this transformative technology is revolutionizing key sectors, with a focus on how businesses can leverage it effectively.

Applications of IoT in Key Industries

1.Smart Manufacturing: Efficiency Through Connectivity

Manufacturing has embraced IoT as a tool to streamline operations and boost productivity. By embedding sensors in machinery and integrating real-time monitoring systems, manufacturers can:

Predict and Prevent Downtime: IoT-enabled predictive maintenance reduces unplanned outages, saving time and money.

Optimize Resource Allocation: Smart systems track inventory, raw materials, and energy consumption, ensuring optimal usage.

Enhance Quality Control: Real-time data from production lines helps identify defects early, maintaining high-quality standards.

Example: A global automotive manufacturer integrated IoT sensors into its assembly lines, reducing equipment downtime by 25% and improving production efficiency by 30%. The ability to monitor machinery health in real time transformed their operations, delivering significant cost savings.

2.Healthcare: Improve Patient Outcomes

In healthcare, IoT has been a game-changer in enabling connected medical devices and systems that enhance patient care and operational efficiency. The main applications include:

Remote Patient Monitoring: Devices track vital signs in real time, allowing healthcare providers to offer timely interventions.

Smart Hospital Systems: IoT-enabled equipment and sensors optimize resource utilization, from patient beds to medical supplies.

Data-Driven Decisions: IoT integrates patient data across systems, providing actionable insights for personalized treatment plans.

Example: A major hospital has put into operation IoT-enabled wearables for chronic disease management. This solution reduced the number of readmissions to hospitals by 20% and empowered patients to take an active role in their health.

3.Retail: Revolutionizing Customer Experiences

IoT is revolutionizing retail through increased customer interaction and streamlined operations. Connected devices and smart analytics allow retailers to:

Personalize Shopping Experiences: IoT systems track customer preferences, offering tailored recommendations in real time.

Improve Inventory Management: Smart shelves and sensors keep stock levels optimal, reducing wastage and improving availability.

Enable Smooth Transactions: IoT-driven payment systems make checkout easier and much faster, increasing customers’ convenience

Example: A retail chain leveraged IoT to integrate smart shelves that automatically update inventory data. This reduced out-of-stock situations by 40%, improving customer satisfaction and driving higher sales.

Role of Intelligent Connectivity in Business Transformation

Intelligent connectivity lies at the heart of IoT’s transformative potential. By connecting devices, systems, and processes, businesses can:

Accelerate Decision-Making: Real-time data sharing enables faster, more informed decisions, giving companies a competitive edge.

It increases collaboration by allowing smooth communication between departments and teams, making the entire system more efficient.

Adapt to Market Dynamics: IoT enables companies to respond quickly to changes in demand, supply chain disruptions, or operational challenges.

Intelligent connectivity is not just about technology; it’s about creating value by aligning IoT solutions with business objectives. This strategic approach guarantees that IoT investments will deliver measurable outcomes, from cost savings to improved customer loyalty.

How Tudip Technologies Powers Intelligent Connectivity

Tudip Technologies specializes in designing and implementing IoT solutions that drive meaningful transformation for businesses. With a focus on innovation and collaboration, Tudip ensures that its clients achieve operational excellence through intelligent connectivity.

Tailored Solution for Every Business Industry

Tudip understands that no two businesses are alike. By customizing IoT strategies to address specific challenges, Tudip helps clients unlock the full potential of connectivity. Examples include:

Smart Supply Chains: Implementing IoT systems that provide real-time visibility into inventory and logistics, reducing delays and improving efficiency.

Energy Management: Developing IoT frameworks to monitor and optimize energy usage, driving sustainability and cost savings.

Healthcare Innovations: Designing networked medical devices that allow remote patient monitoring and data integration without a hitch.

The Future of Connected Systems

The demand for intelligent connectivity will keep increasing as the industries continue to evolve. Emerging trends in IoT include edge computing, 5G networks, and AI-powered analytics, which promise to redefine possibilities for connected ecosystems.

Businesses that embrace these advancements stand to gain:

Greater Resilience: IoT enables adaptive systems that can withstand market fluctuations and operational challenges.

Enhanced Innovation: Connected technologies open doors to new business models, revenue streams, and customer experiences.

Sustainable Growth: IoT optimizes resources and processes, contributing to long-term environmental and economic sustainability.

The future belongs to those who see connectivity not just as a technological tool but as a strategic enabler of transformation. The right partner will help businesses transform IoT from a concept into a competitive advantage.

Conclusion: Embracing Intelligent Connectivity with Tudip

IoT is not just changing the way businesses operate—it’s redefining what’s possible. From manufacturing and healthcare to retail and beyond, intelligent connectivity is driving innovation, efficiency, and growth across industries.

Tudip Technologies is at the forefront of this transformation, offering customized IoT solutions that deliver real results. By prioritizing collaboration, adaptability, and measurable outcomes, Tudip ensures that its clients stay ahead in an increasingly connected world.

Now is the time to embrace the power of IoT and unlock its potential for your business. With Tudip as your partner, the journey to intelligent connectivity is not just achievable—it’s inevitable.

Click the link below to learn more about the blog IoT in Action: Transforming Industries with Intelligent Connectivity https://tudip.com/blog-post/iot-in-action-transforming-industries-with-intelligent-connectivity/

[rydotinfotech]

Want smarter business moves? Discover how AI improves decisions and customer service. Explore AI's future impact on the global economy by 2035. Read it now! 

[sap-pulse]

Revolutionize your business decisions with SAP Analytics Cloud, the leading SAP software solution that delivers powerful insights and real-time analytics for smarter strategies.

[ajmishra]

Dominating the Market with Cloud Power

Explore how leveraging cloud technology can help businesses dominate the market. Learn how cloud power boosts scalability, reduces costs, enhances innovation, and provides a competitive edge in today's digital landscape. Visit now to read more: Dominating the Market with Cloud Power

[bicxo]

AI-powered Cash Flow Management for the Modern CFO

The future of finance and business analytics: How AI transforms cash flow management

Cash flow management is crucial for any business's financial health and growth, ensuring funds cover expenses, debts, and investments. Traditional manual processes were error-prone and inefficient. However, AI-powered solutions are revolutionizing finance and business analytics, empowering CFOs to master cash flow management for optimal performance.

The struggles of traditional methods

Before AI, cash flow management relied on manual processes, resulting in:

Inaccurate Forecasting: Predicting cash flow involves variables like customer payments and supply chain costs. Traditional methods often led to financial shortfalls.

Limited Visibility: Integrating financial information across systems was challenging, leading to fragmented data and missed early warning signs.

Inefficient Receivables and Payables Management: Effective management goes beyond timely collections and payments; it involves optimizing credit terms and payment timings, often mismanaged traditionally.

Reactive Liquidity Management: Balancing operational needs with growth opportunities required nuanced liquidity management, difficult without AI.

AI: The game changer in cash flow management

AI-powered solutions offer significant advancements:

Automated and Accurate Forecasts: AI analyzes vast datasets, generating accurate cash flow forecasts, enabling better planning and avoiding financial overextension.

Real-Time Financial Visibility: AI systems integrate data across platforms, providing a real-time view of cash flow, allowing CFOs to address discrepancies and adjust strategies.

Optimized Receivables and Payables Management: AI automates processes, using predictive analytics for optimal invoice and payment timings, maximizing cash flow efficiency.

Enhanced Liquidity Management Strategies: AI offers real-time data and predictive insights, helping CFOs simulate financial scenarios and make informed decisions to maintain optimal liquidity.

How CFOs can leverage AI for cash flow mastery

AI-Driven Analytics for Sharper Forecasts: Utilize AI analytics for accurate forecasts, anticipating shortfalls or surpluses, and adjusting strategies.

Real-Time Dashboards for Unparalleled Visibility: Leverage AI-powered dashboards for a comprehensive view of financial health, centralizing monitoring and decision-making.

Automated Accounts Receivable and Payable Management: Automate the cycle with AI, improving efficiency and reducing errors.

Predictive Insights for Optimized Liquidity Management: Use AI for future capital planning, ensuring sufficient liquidity for operations and strategic initiatives.

Enhanced Risk Management: AI identifies risks like fraud or compliance issues, allowing early mitigation and informed credit decisions.

Streamlined Regulatory Compliance and Reporting: AI automates compliance and reporting processes, reducing administrative burdens and minimizing errors.

To read the full article click on this link

[rajaniesh]

Real-World Application of Data Mesh with Databricks Lakehouse

Explore how a global reinsurance leader transformed its data systems with Data Mesh and Databricks Lakehouse for better operations and decision-making.

[stldigital]

How STL Digital’s Product Engineering Service Drives Digital Transformation

Introduction

In today’s dynamic and hyper-connected digital landscape, the significance of product engineering cannot be overstated. The product engineering services market is projected to reach $1.5 trillion by 2027. Product engineering is the process of innovating, designing, developing, testing, and deploying products, with a focus on creating solutions that address specific market needs. In the context of the digital era, the importance of product engineering is multi-faceted and extends across various industries. As a leading IT services company, STL Digital specializes in cutting-edge product engineering services, committing to transforming innovative ideas into market-ready solutions. We are dedicated to engineering experiences that redefine industries, combining expertise and innovation to deliver end-to-end product development solutions that position clients for success in today’s dynamic market. 

The Role of Product Engineering Services in Digital Transformation 

Product engineering services are instrumental in digital transformation, fueling innovation, seamless digital experiences, and interconnected solutions that drive business success in the digital landscape. These services play a pivotal role in crafting cutting-edge products that stay ahead in the competitive market and prioritize user-centric design for engaging digital experiences. The interconnectivity facilitated by product engineering gives rise to ecosystems where devices seamlessly communicate, enhancing user experiences and providing valuable data-driven insights. However, achieving digital success through product engineering requires a strategic approach, aligning the process with business objectives and market demands. This ensures that product engineering becomes a proactive force, anticipating and meeting the challenges of the dynamic digital landscape.

STL Digital’s Product Engineering Services

In the realm of product engineering, STL Digital distinguishes itself with unparalleled expertise in product lifecycle management, guiding the creation of innovative products, digital experiences, and interconnected solutions. Fueled by a resilient ecosystem platform and strategic acumen, we actively challenge traditional business models, reshaping the entire business value chain. Our defining strength lies not merely in product creation but in the unparalleled ability to transform ideas into market-ready solutions. With adept product lifecycle management skills, we specialize in crafting distinctive and innovative products, delivering superior digital experiences, and establishing interconnected solutions that redefine industry benchmarks. At STL Digital, our commitment extends beyond engineering products; we engineer experiences that consistently surpass the evolving demands of the digital landscape.

The Approach to Product Engineering at STL Digital

The Approach to Product Engineering at STL Digital is defined by four key elements, each contributing to the acceleration of innovation and the creation of advance solutions:

Embedded AI for Accelerated Journeys: Utilizing Embedded AI accelerates product engineering, expediting the journey from concept to market.

Engineering Automation with Continuous Feedback: Automation, coupled with continuous feedback, streamlines processes, ensuring adaptability in an iterative development cycle.

Multi-stakeholder Experience Measurement Framework: Integration of a comprehensive framework considers diverse perspectives, guaranteeing a universally satisfactory user experience.

Cloud FinOps Integrated with Product Engineering Services: Embracing Cloud FinOps optimizes resources, ensuring cost-effectiveness throughout the product engineering lifecycle.

Driving Digital Transformation with Modern Technology Trends:

In the swiftly evolving realm of digital transformation, integrating modern technology trends is crucial to expedite innovation and maintain a competitive edge. It is important to understand the steps to Balance Cost and Quality in Product Engineering.  By actively adopting and assimilating the latest advancements, organizations can streamline operations, positioning themselves as leaders in delivering state-of-the-art products and services. At STL Digital, we acknowledge the pivotal role of these trends as catalysts for change, not only enhancing efficiency but also paving the way for groundbreaking solutions. Our approach is meticulously calibrated to resonate with the voice of the customer, ensuring that the solutions we engineer leave a lasting and meaningful impact.

Case Studies and Success Stories:

In a dynamic landscape where data integrity is paramount, STL Digital emerged as a game-changer for a leading global credit reference agency facing critical challenges. With a presence in 24 countries and a client base spanning diverse industries, the agency sought to elevate its services amidst growing competition. STL Digital seamlessly addressed two pivotal risks – the need for skilled testing professionals and the synchronization of testing and development timelines. Leveraging modern tools and methodologies, STL Digital crafted a comprehensive Testing Strategy and Test Plan, outlining project milestones and resource allocations. The result? A resounding success with 95%+ test coverage, 85%+ test automation coverage, and a remarkable 90% defect closure rate within two weeks of identification. Client satisfaction soared beyond 95%, underscoring STL Digital’s prowess in delivering premium testing services that not only met but exceeded expectations. 

Benefits of Choosing STL Digital for Product Engineering Services

Choosing STL Digital for your product engineering services unlocks a myriad of benefits. Our expertise, unwavering commitment to innovation, and ability to deliver market-ready solutions set us apart in the industry. Research shows almost 66% of customers expect companies to predict and understand their needs and deliver products that will not only meet their specific needs but also offer a personalized experience. We go beyond conventional service delivery by redefining business value chains, disrupting legacy models, and positioning our clients for sustained success in the ever-evolving digital era. Partner with STL Digital for a transformative journey that propels your business to new heights.

Conclusion

By fostering collaboration, aligning goals, and driving innovation, engineering product services are revolutionizing the way IT and business work together. Product engineering is the cornerstone of digital transformation, and STL Digital stands as your trusted partner on this transformative journey. Our commitment to engineering experiences, coupled with a strategic and innovative approach, positions us as the catalyst for businesses aiming to thrive in the digital landscape. Consider STL Digital as your ally in turning ideas into market-ready products that redefine industries and drive digital success.

[technologyblog2023]

The Entrepreneur's Guide to Harnessing the Power of Data Science Services

Where decisions are made in the blink of an eye, harnessing the power of data has become a crucial factor for entrepreneurial success. The rise of Data Science Services has opened up new avenues for businesses across various industries to gain insights, make informed decisions, and stay ahead of the competition. However, the problem is that many entrepreneurs do not know this. To guide them, here is an article that will act as a tutorial for businesses. Reading the article entrepreneurs can effectively leverage data science to drive growth, streamline operations, and make their mark in the market.

So, let’s delve deep. 

Understanding the Essence of Data Science Services

Data Science Services encompass a range of techniques, tools, and processes that transform raw data into actionable insights. From uncovering hidden trends and patterns to predicting future outcomes, these services offer a treasure trove of information that can guide entrepreneurial endeavors. By partnering with specialized data science services, businesses can unlock the full potential of their data and gain a competitive edge. How to do that? Let’s see below. 

1. Identifying the Right Data Science Services for Your Business

Every business is unique, and so are its data needs. The first step for entrepreneurs is to identify the specific Data Science Services that align with their goals. Whether it's customer behavior analysis, demand forecasting, or operational optimization, tailoring the services to suit the business requirements is essential. By doing so, entrepreneurs can ensure that they are focusing on the areas that truly matter.

2. Gaining Deeper Customer Insights

One of the most powerful applications of Data Science Services is understanding customer behavior. Through advanced analytics, businesses can unravel valuable insights into consumer preferences, buying patterns, and pain points. This knowledge not only helps in refining marketing strategies but also aids in the development of products and services that cater to the precise needs of the target audience.

3. Enhancing Decision-Making Through Data-Driven Approaches

Gone are the days when business decisions relied solely on gut feelings. Entrepreneurs can now make well-informed decisions backed by data-driven insights. By leveraging data science services, entrepreneurs can analyze historical data, current trends, and industry benchmarks to make predictions and plan strategies that have a higher probability of success. This minimizes the risks associated with uncertainty and guides the business towards sustainable growth.

4. Streamlining Operations for Efficiency

Efficiency is the cornerstone of a successful business. Data science services can play a pivotal role in optimizing operations by identifying bottlenecks, streamlining processes, and improving resource allocation. Entrepreneurs can employ these insights to reduce wastage, cut costs, and enhance overall operational efficiency.

5. Gaining a Competitive Edge

In a competitive market, staying ahead requires innovation and agility. Data science services provide the tools necessary to innovate by recognizing emerging trends before they become mainstream. By spotting these trends early on, entrepreneurs can tailor their strategies to capitalize on new opportunities, positioning themselves as industry leaders.

6. Overcoming Challenges with Expert Data Science Consulting Services

While the benefits of data science services are undeniable, implementing them effectively can be a complex endeavor. This is where Data Science Consulting Services come into play. These specialized experts bring their knowledge and experience to the table, guiding entrepreneurs through the intricacies of data analysis, interpretation, and strategy development. Collaborating with such professionals ensures that businesses make the most of their data without being overwhelmed by its complexity.

Finishing off

Data Science Services have transformed the way entrepreneurs approach business operations and decision-making. By embracing these services, businesses can better understand their customers, make informed decisions, optimize operations, and outpace the competition. Whether it's through harnessing customer insights or fine-tuning operations, services of data science have become an indispensable tool for entrepreneurial success. Partner with expert Data Science Consulting Services to unlock the true potential of your data and pave the way for a prosperous future. Remember, in the age of data-driven decisions, those who wield the power of data science emerge as the trailblazers of their industries

[tech-ahead-corp]

IoT Network Protocols (e.g., MQTT, CoAP)

Harness robust IoT network protocols, including MQTT and CoAP, for seamless connectivity!

[allaboutkeyingo]

What is the most awesome Microsoft product? Why?

The “most awesome” Microsoft product depends on your needs, but here are some top contenders and why they stand out:

Top Microsoft Products and Their Awesome Features

1. Microsoft Excel

Why? It’s the ultimate tool for data analysis, automation (with Power Query & VBA), and visualization (Power Pivot, PivotTables).

Game-changer feature: Excel’s Power Query and dynamic arrays revolutionized how users clean and analyze data.

2. Visual Studio Code (VS Code)

Why? A lightweight, free, and extensible code editor loved by developers.

Game-changer feature: Its extensions marketplace (e.g., GitHub Copilot, Docker, Python support) makes it indispensable for devs.

3. Windows Subsystem for Linux (WSL)

Why? Lets you run a full Linux kernel inside Windows—perfect for developers.

Game-changer feature: WSL 2 with GPU acceleration and Docker support bridges the gap between Windows and Linux.

4. Azure (Microsoft Cloud)

Why? A powerhouse for AI, cloud computing, and enterprise solutions.

Game-changer feature: Azure OpenAI Service (GPT-4 integration) and AI-driven analytics make it a leader in cloud tech.

5. Microsoft Power BI

Why? Dominates business intelligence with intuitive dashboards and AI insights.

Game-changer feature: Natural language Q&A lets users ask data questions in plain English.

Honorable Mentions:

GitHub (owned by Microsoft) – The #1 platform for developers.

Microsoft Teams – Revolutionized remote work with deep Office 365 integration.

Xbox Game Pass – Netflix-style gaming with cloud streaming.

Final Verdict?

If you’re a developer, VS Code or WSL is unbeatable. If you’re into data, Excel or Power BI wins. For cutting-edge cloud/AI, Azure is king.

What’s your favorite?

If you need any Microsoft products, such as Windows , Office , Visual Studio, or Server , you can go and get it from our online store keyingo.com

[jcmarchi]

Unlock the other 99% of your data - now ready for AI

New Post has been published on https://thedigitalinsider.com/unlock-the-other-99-of-your-data-now-ready-for-ai/

Unlock the other 99% of your data - now ready for AI

For decades, companies of all sizes have recognized that the data available to them holds significant value, for improving user and customer experiences and for developing strategic plans based on empirical evidence.

As AI becomes increasingly accessible and practical for real-world business applications, the potential value of available data has grown exponentially. Successfully adopting AI requires significant effort in data collection, curation, and preprocessing. Moreover, important aspects such as data governance, privacy, anonymization, regulatory compliance, and security must be addressed carefully from the outset.

In a conversation with Henrique Lemes, Americas Data Platform Leader at IBM, we explored the challenges enterprises face in implementing practical AI in a range of use cases. We began by examining the nature of data itself, its various types, and its role in enabling effective AI-powered applications.

Henrique highlighted that referring to all enterprise information simply as ‘data’ understates its complexity. The modern enterprise navigates a fragmented landscape of diverse data types and inconsistent quality, particularly between structured and unstructured sources.

In simple terms, structured data refers to information that is organized in a standardized and easily searchable format, one that enables efficient processing and analysis by software systems.

Unstructured data is information that does not follow a predefined format nor organizational model, making it more complex to process and analyze. Unlike structured data, it includes diverse formats like emails, social media posts, videos, images, documents, and audio files. While it lacks the clear organization of structured data, unstructured data holds valuable insights that, when effectively managed through advanced analytics and AI, can drive innovation and inform strategic business decisions.

Henrique stated, “Currently, less than 1% of enterprise data is utilized by generative AI, and over 90% of that data is unstructured, which directly affects trust and quality”.

The element of trust in terms of data is an important one. Decision-makers in an organization need firm belief (trust) that the information at their fingertips is complete, reliable, and properly obtained. But there is evidence that states less than half of data available to businesses is used for AI, with unstructured data often going ignored or sidelined due to the complexity of processing it and examining it for compliance – especially at scale.

To open the way to better decisions that are based on a fuller set of empirical data, the trickle of easily consumed information needs to be turned into a firehose. Automated ingestion is the answer in this respect, Henrique said, but the governance rules and data policies still must be applied – to unstructured and structured data alike.

Henrique set out the three processes that let enterprises leverage the inherent value of their data. “Firstly, ingestion at scale. It’s important to automate this process. Second, curation and data governance. And the third [is when] you make this available for generative AI. We achieve over 40% of ROI over any conventional RAG use-case.”

IBM provides a unified strategy, rooted in a deep understanding of the enterprise’s AI journey, combined with advanced software solutions and domain expertise. This enables organizations to efficiently and securely transform both structured and unstructured data into AI-ready assets, all within the boundaries of existing governance and compliance frameworks.

“We bring together the people, processes, and tools. It’s not inherently simple, but we simplify it by aligning all the essential resources,” he said.

As businesses scale and transform, the diversity and volume of their data increase. To keep up, AI data ingestion process must be both scalable and flexible.

“[Companies] encounter difficulties when scaling because their AI solutions were initially built for specific tasks. When they attempt to broaden their scope, they often aren’t ready, the data pipelines grow more complex, and managing unstructured data becomes essential. This drives an increased demand for effective data governance,” he said.

IBM’s approach is to thoroughly understand each client’s AI journey, creating a clear roadmap to achieve ROI through effective AI implementation. “We prioritize data accuracy, whether structured or unstructured, along with data ingestion, lineage, governance, compliance with industry-specific regulations, and the necessary observability. These capabilities enable our clients to scale across multiple use cases and fully capitalize on the value of their data,” Henrique said.

Like anything worthwhile in technology implementation, it takes time to put the right processes in place, gravitate to the right tools, and have the necessary vision of how any data solution might need to evolve.

IBM offers enterprises a range of options and tooling to enable AI workloads in even the most regulated industries, at any scale. With international banks, finance houses, and global multinationals among its client roster, there are few substitutes for Big Blue in this context.

To find out more about enabling data pipelines for AI that drive business and offer fast, significant ROI, head over to this page.