#Business data insights

[datavisualizationdashboard]

Stop Neglecting Mobile Optimization in Data Visualizations

The Shift to Mobile: A Data-Driven Narrative

With the intensity with which our digital landscape is rapidly evolving, the shift towards mobile technology has further reshaped how businesses operate and interact with data. This transition isn’t just about convenience; it’s a critical evolution in the way business data insights are generated, accessed, and utilized to drive decision-making. As mobile devices become ubiquitous in professional environments, optimizing business data visualization for these platforms is no longer optional — it’s essential.

The Rising Dominance of Mobile in Professional Settings

Image source

Mobile optimization of business data visualizations caters to this need by ensuring that insights are not only accessible but also actionable from anywhere. This accessibility is transforming how teams collaborate and make decisions, fostering a more dynamic and responsive business environment.

Enhanced Engagement Through Mobile-Optimized Visualizations

Mobile-optimized business data visualizations offer more than just convenience; they enhance user engagement significantly. Interactive dashboards and graphical representations that are tailored for touch interfaces improve user interaction, making it easier for professionals to drill down into data insights directly from their mobile devices. This ease of interaction ensures that users are more likely to engage with the data regularly, leading to deeper insights and more informed decision-making.

Enhanced Engagement Through Mobile-Optimized Visualizations

Mobile-optimized business data visualizations offer more than just convenience; they enhance user engagement significantly. Interactive dashboards and graphical representations that are tailored for touch interfaces improve user interaction, making it easier for professionals to drill down into data insights directly from their mobile devices. This ease of interaction ensures that users are more likely to engage with the data regularly, leading to deeper insights and more informed decision-making.

Challenges of Mobile Data Visualization

As businesses increasingly depend on mobile devices to access critical data, the optimization of business data visualization for these platforms becomes crucial. However, transitioning from traditional desktop-based analytics to mobile-optimized visualizations presents several challenges that businesses must navigate to ensure they deliver precise and actionable business data insights effectively.

Technical Hurdles in Mobile Data Visualization

1. Screen Size Limitations: The compact nature of mobile screens poses significant design challenges for displaying complex business data visualizations. Effective mobile visualization requires a balance between detail and clarity to ensure that key data insights are comprehensible at a glance without oversimplification.

4. Network Constraints: Mobile devices often rely on wireless network connections, which can be unstable or slower than wired connections. Business data visualizations must be optimized for low bandwidth scenarios to ensure that they load quickly and function correctly, providing timely business data insights even under less-than-ideal network conditions.

Cognitive Challenges in Mobile Data Visualization

1. Information Overload: One of the most significant cognitive challenges in mobile data visualization is managing the density of information. Mobile screens have limited space, and overcrowding them with too much business data can overwhelm users, leading to misinterpretation or disengagement. It’s crucial to distill business data information into its most essential elements and present it in a way that is immediately actionable.

2. Readability Issues: Ensuring readability in mobile visualizations involves more than just adjusting the size of text and graphics. It includes the thoughtful use of color, contrast, and spacing to enhance visibility and legibility. Given the varied lighting conditions in which mobile devices are used, business data visualizations must be clear and easily decipherable in both bright outdoor environments and dim indoor settings.

3. User Interaction with Mobile Data: Interacting with data on a mobile device requires a different approach than on a desktop. Users expect to tap, swipe, and pinch-to-zoom when engaging with mobile content. Therefore, business data visualizations need to be designed with these interactions in mind to ensure that users can explore business data insights in a manner that feels natural and enhances their understanding of the content.

Impact of Mobile Optimization on Business Metrics

The digital age demands agility and precision in decision-making, with mobile technology at the forefront of this transformation. Mobile-optimized data visualizations play a pivotal role in refining business operations by enhancing the speed and efficiency of decision-making processes and boosting user engagement. This strategic integration of mobile optimization into business data practices not only aligns with contemporary business needs but also drives significant improvements in key business metrics.

Accelerating Decision-Making with Mobile-Optimized Visualizations

Real-Time Data Access: Mobile optimization of business data visualizations ensures that critical data insights are accessible in real-time, no matter where stakeholders are located. This immediacy facilitates quicker responses to market changes and operational issues, thereby accelerating the decision-making process. For instance, sales managers on field visits can access updated customer data and performance metrics on their mobile devices, allowing them to make informed decisions on the spot without delays.

Enhanced Data Interaction: Interactive business data visualizations tailored for mobile devices allow users to manipulate data dynamically. This can include filtering, drilling down, or adjusting what data is displayed, all through simple touch gestures. Such interactions not only make the data exploration process more intuitive but also enable decision-makers to derive insights more swiftly and accurately.

Boosting User Engagement Through Mobile-Optimized Visualizations

User-Centric Design: Mobile-optimized visualizations focus on user experience by presenting business data in a concise and visually appealing manner. This approach addresses the limited screen real estate of mobile devices and emphasizes clarity and emphasis on critical data points. Well-designed mobile dashboards significantly increase user engagement by making the consumption of business data a seamless and more enjoyable experience.

Accessibility and Convenience: By making business data visualizations easily accessible on mobile devices, organizations empower their employees with the flexibility to engage with data anytime and anywhere. This convenience significantly increases the frequency of data interaction, fostering a data-driven culture within the organization. Employees are more likely to utilize business data insights in their daily tasks, leading to greater overall engagement with the company’s analytical resources.

Best Practices for Mobile Optimization in Data Visualizations

Mobile devices have become central to professional workflows, necessitating optimized business data visualizations that are not only functional but also adaptive to the varied formats and constraints of mobile technology. Implementing best practices in mobile optimization ensures that business data insights are effectively communicated and readily actionable, enhancing both decision-making processes and user engagement.

1. Responsive Design

Seamless Adaptation Across Devices: Responsive design in business data visualization ensures that visual content fluidly adjusts to different screen sizes and orientations. This adaptability means that whether a user views data on a smartphone, tablet, or laptop, the information remains legible, uncluttered, and aesthetically consistent. For example, dashboards should rearrange components based on the screen size, ensuring key figures and charts remain prominent.

Implementation Techniques:

Use CSS media queries to modify visualizations based on device specifications.

Employ flexible grid layouts that accommodate a range of screen sizes.

Test visualizations on multiple devices to guarantee consistent user experiences.

2. Simplified Visuals

Clarity on Smaller Screens: Simplifying visuals involves more than just reducing the quantity of data presented; it’s about refining the way information is displayed to enhance readability and comprehension. On mobile devices, where screen real estate is limited, it’s crucial to focus on core data insights and avoid visual overcrowding.

Strategies for Simplification:

Prioritize key data points and use minimalistic designs.

Employ clear, concise labels and avoid small, dense text.

Utilize colors and icons to convey information quickly and effectively.

3. Interactivity

Engaging Users with Interactive Elements: Enhancing interactivity in mobile business data visualizations involves incorporating touch gestures that are intuitive to mobile users. This approach not only makes navigating data more engaging but also allows users to explore business data insights in a hands-on manner.

Interactive Features to Include:

Swipe to navigate through different data sets or time periods.

Tap components to reveal additional layers of data or drill-down analytics.

Pinch to zoom in on detailed data points or expand graphs for a better view.

4. Performance Optimization

Minimizing Load Times and Data Usage: Performance optimization is crucial for mobile data visualizations, particularly because mobile devices often depend on cellular networks, which can vary in speed and reliability. Optimizing these visualizations for quick loading and minimal data usage is essential to maintain user engagement and ensure accessibility.

Optimization Techniques:

Compress data and images to reduce load times without sacrificing quality.

Implement lazy loading techniques, where components load only when needed.

Opt for server-side processing for complex calculations to minimize device resource usage.

Conclusion

As we move through an increasingly mobile-centric world, the imperative to adapt our business data visualizations for mobile devices cannot be overstated. Ignoring this crucial aspect can lead to missed opportunities and hindered decision-making processes. It’s time to transform how your business interacts with data, making it not only accessible but also optimally functional on every mobile device.

Grow stands at the foothold of this transformative journey, offering state-of-the-art solutions that ensure your data visualizations are as mobile as your workforce. By leveraging Grow’s intuitive platform, you can ensure that every chart, graph, and dashboard is crafted to perform seamlessly on any device, enhancing decision-making speed and accuracy wherever your team goes.

Ready to experience the future of business intelligence across iOS and Andriod with the Grow app? Embark on a no-obligation journey with Grow’s 14-day free trial, and see how mobile-optimized data visualizations can elevate your business strategy. For a deeper dive into how Grow can tailor its offerings to your specific needs, explore the detailed Grow Features & Capabilities on GetApp. Transform your data into a dynamic tool for growth and innovation today — because when your data is ready to move, so is your business.

Original Source: https://bit.ly/3T9SkMS

[appletechx]

Revealing Unseen Insights: An In-Depth Manual on Data Analytics Tools and Techniques

Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to gain insights that can be used to make better decisions. It is a powerful tool that can be used to improve businesses, organizations, and even our own lives.

There are many different data analytics tools and techniques available, each with its own strengths and weaknesses. Some of the most common tools include:

Data visualization: This involves creating charts, graphs, and other visual representations of data to make it easier to understand.

Statistical analysis: This involves using statistical methods to identify patterns and trends in data.

Machine learning: This involves using algorithms to learn from data and make predictions.

Natural language processing: This involves using algorithms to analyze text data.

The best data analytics tool or technique for a particular situation will depend on the specific goals of the analysis. For example, if you are trying to identify patterns in customer behavior, you might use data visualization or statistical analysis. If you are trying to build a model to predict future sales, you might use machine learning.

In this blog post, we will provide an in-depth overview of the most common data analytics tools and techniques. We will also discuss the steps involved in conducting a data analytics project, from data collection to interpretation.

The Steps of a Data Analytics Project

A data analytics project typically follows these steps:

Define the problem. What are you trying to achieve with your data analysis? What are your specific goals?

Collect the data. This may involve gathering data from internal sources, such as customer records or sales data, or from external sources, such as social media data or government datasets.

Clean the data. This involves removing any errors or inconsistencies in the data.

Analyze the data. This is where you use the data analytics tools and techniques to identify patterns and trends.

Interpret the results. This involves making sense of the findings and drawing conclusions.

Communicate the results. This involves sharing your findings with the stakeholders who need to know.

Data Analytics Tools and Techniques

Here is a brief overview of some of the most common data analytics tools and techniques:

Data visualization: This involves creating charts, graphs, and other visual representations of data to make it easier to understand. Some popular data visualization tools include Tableau, QlikView, and Microsoft Power BI.

Statistical analysis: This involves using statistical methods to identify patterns and trends in data. Some popular statistical analysis tools include SPSS, SAS, and R.

Machine learning: This involves using algorithms to learn from data and make predictions. Some popular machine learning tools include TensorFlow, scikit-learn, and Keras.

Natural language processing: This involves using algorithms to analyze text data. Some popular natural language processing tools include spaCy, NLTK, and Stanford CoreNLP.

Conclusion

Data analytics is a powerful tool that can be used to reveal unseen insights. By understanding the different tools and techniques available, you can choose the right ones for your specific needs. And by following the steps involved in a data analytics project, you can ensure that your analysis is successful.

I hope this blog post has been helpful. If you have any questions, please feel free to leave a comment below.

[bahadurislam011444]

Unveiling the Best SEO Worker in Bangladesh: Driving Digital Success

[performancemarketingpickmyurl]

Performance Marketing

PICKMYURL Performance Marketing: Empowering Your Business Growth

Discuss for Pricing. Would like to chat with PICKMYURL on Skype.

In today's highly competitive business landscape, standing out and achieving success requires a strategic approach to marketing. Enter PICKMYURL Performance Marketing—a dynamic and innovative solution that empowers businesses to optimize their online presence, drive targeted traffic, and achieve remarkable results.

This comprehensive platform combines cutting-edge technology, data-driven strategies, and expert guidance to maximize performance and unlock new opportunities for businesses across industries. In this article, we will delve into the key aspects of PICKMYURL Performance Marketing, exploring its benefits, features, and how it can help your business thrive in the digital realm.

Performance Marketing

Understanding Performance Marketing: Performance marketing is a results-oriented marketing strategy that focuses on measurable actions and outcomes, such as conversions and sales. Unlike traditional marketing methods, which rely on broad messaging and brand awareness, performance marketing centers on delivering tangible results based on key performance indicators (KPIs). PICKMYURL Performance Marketing takes this concept to the next level by leveraging advanced analytics, targeting capabilities, and optimization techniques to drive maximum ROI for businesses.

The Power of PICKMYURL Performance Marketing: PICKMYURL Performance Marketing offers a plethora of powerful features designed to enhance your marketing efforts and boost your business growth. Let's explore some of its key components:

2.1 Data-driven Insights: With PICKMYURL, data lies at the core of every decision and strategy. The platform provides robust analytics and reporting tools, allowing businesses to gain deep insights into their marketing campaigns. By analyzing key metrics, user behavior, and conversion patterns, you can make informed decisions and optimize your marketing efforts for maximum impact.

2.2 Targeted Advertising: PICKMYURL Performance Marketing enables businesses to precisely target their desired audience through various channels, including search engines, social media platforms, and display networks. By leveraging advanced targeting options such as demographics, interests, and browsing behavior, you can ensure that your marketing messages reach the right people at the right time, enhancing the chances of conversions and sales.

2.3 Conversion Optimization: Converting website visitors into paying customers is a crucial aspect of any marketing strategy. PICKMYURL Performance Marketing provides a range of tools and techniques to optimize your conversion rates. From A/B testing and landing page optimization to personalized messaging and remarketing campaigns, the platform equips you with the necessary resources to turn prospects into loyal customers.

2.4 Performance Tracking: To measure the success of your marketing efforts, it's essential to have a comprehensive tracking system in place. PICKMYURL Performance Marketing offers robust tracking capabilities, allowing you to monitor key metrics, track conversions, and evaluate the performance of your campaigns. This data-driven approach enables you to identify areas of improvement, refine your strategies, and make data-backed decisions to achieve better results.

3. Benefits of PICKMYURL Performance Marketing: Implementing PICKMYURL Performance Marketing into your business strategy can yield a wide array of benefits:

3.1 Increased ROI: By focusing on measurable results, PICKMYURL Performance Marketing helps businesses optimize their marketing spend and generate a higher return on investment. With advanced targeting and conversion optimization techniques, you can ensure that your marketing budget is allocated to the most effective channels and campaigns, resulting in increased revenue and profitability.

3.2 Enhanced Customer Engagement: PICKMYURL Performance Marketing enables businesses to create personalized and engaging experiences for their target audience. By tailoring your marketing messages based on user preferences, behavior, and demographics, you can establish stronger connections with your customers, leading to higher engagement, brand loyalty, and repeat business.

3.3 Scalability and Flexibility: Whether you're a small startup or a large enterprise, PICKMYURL Performance Marketing provides a scalable solution that can adapt to your business needs. As your business grows, the platform can accommodate increased traffic, expand your campaigns, and handle larger datasets. This scalability ensures that your marketing efforts can keep up with your business's growth trajectory, allowing you to reach new markets and expand your customer base.

3.4 Real-Time Optimization: PICKMYURL Performance Marketing operates in real-time, providing you with up-to-the-minute insights and the ability to make immediate adjustments to your campaigns. With access to real-time data, you can identify underperforming ads, adjust targeting parameters, or tweak messaging to ensure optimal results. This agility and responsiveness empower you to stay ahead of the competition and seize opportunities as they arise.

3.5 Measurable Results and Transparency: One of the standout features of PICKMYURL Performance Marketing is its emphasis on transparency and accountability. Through detailed analytics and reporting, you can track the performance of your marketing campaigns, measure key metrics, and assess the effectiveness of your strategies. This transparency allows you to make data-driven decisions, allocate resources effectively, and demonstrate the impact of your marketing efforts to stakeholders.

4. Industries and Applications: PICKMYURL Performance Marketing is a versatile solution that can benefit businesses across various industries. Here are a few examples of how different sectors can leverage this powerful platform:

4.1 E-commerce: For online retailers, PICKMYURL Performance Marketing offers a comprehensive set of tools to drive traffic, increase conversions, and boost sales. From optimizing product listings and implementing targeted advertising campaigns to leveraging remarketing strategies and personalized recommendations, e-commerce businesses can create a seamless shopping experience and maximize revenue.

4.2 SaaS and Tech Startups: Software-as-a-Service (SaaS) companies and tech startups can leverage PICKMYURL Performance Marketing to generate leads, nurture customer relationships, and drive user acquisition. By utilizing advanced targeting options and conversion optimization techniques, these businesses can reach their target audience, showcase the unique value of their solutions, and foster long-term customer loyalty.

4.3 Local Businesses: PICKMYURL Performance Marketing is equally beneficial for local businesses aiming to increase foot traffic and boost their online visibility. Through localized targeting, geofencing, and proximity-based advertising, businesses such as restaurants, salons, and retail stores can effectively reach potential customers in their vicinity, driving footfall and increasing local brand awareness.

4.4 B2B Marketing: Business-to-Business (B2B) companies can leverage PICKMYURL Performance Marketing to drive lead generation, nurture relationships, and improve customer acquisition. By implementing account-based marketing strategies, targeting key decision-makers, and utilizing data-driven insights, B2B businesses can enhance their sales funnel, streamline their marketing efforts, and achieve higher conversion rates.

5. Implementation and Support: Implementing PICKMYURL Performance Marketing into your business strategy is seamless and hassle-free. The platform provides comprehensive onboarding support, including guidance on campaign setup, tracking implementation, and performance optimization. Additionally, PICKMYURL offers dedicated customer support to address any queries or issues promptly, ensuring that you have a smooth experience throughout your marketing journey.

PICKMYURL Performance Marketing offers a comprehensive solution for businesses looking to maximize their marketing efforts, drive targeted traffic, and achieve remarkable results. By leveraging data-driven insights, advanced targeting capabilities, and conversion optimization techniques, businesses can unlock new growth opportunities, increase their ROI, and establish stronger connections with their target audience.

Whether you're a small startup or a large enterprise, PICKMYURL Performance Marketing empowers you to thrive in the digital realm, adapt to changing market dynamics, and propel your business towards success. Embrace the power of PICKMYURL Performance Marketing and take your business to new heights in the competitive world of digital marketing.

#performancemarketing #digitalmarketing #marketing #onlinemarketing #affiliatemarketing #socialmediamarketing #socialmedia #marketingagency #seo #branding #business #advertising #digitalmarketingagency #ecommerce #b #marketingdigital #googleads #contentmarketing #design #marketingtips #digitalagency #agency #affiliate #digital #agencylife #facebookads #graphicdesign #marketingstrategy #google #leadgeneration

[naviganttechnologies]

Market Research Services

Are you looking to gain a competitive edge in your industry? 🚀

Marketing research services provide invaluable insights into consumer behavior, market trends, and competitor analysis. With this information, you can tailor your marketing strategies to target the right audience, optimize your campaigns, and identify lucrative opportunities for growth. As a Marketing outsourcing company, Navigant offers a full suite of market research operations and data analytics solutions to clients.

Just let us know where you need support, and we’ll step in and take care of the rest.

Book A Meeting: https://meetings.hubspot.com/sonal-arora Web: www.navigant.in Email us at: sonal.arora@navigant.in Cell: +91 9354739641

[nbhagat]

[purple-slate]

What is Conversational Insights in Under 5 Minutes

What is Conversational Insights?

Conversational insights is a novel approach to analyzing data that uses the natural language of customers, employees, and partners to understand their needs. It allows for better communication, improved insight, and faster decision-making.

Conversational insights is a new way to interact with your business data. It’s more natural and intuitive for users, who can get answers without the added complexities of a query-driven data analytics tool. And it can be used in many industries — from healthcare to manufacturing — to improve productivity and better understand customer needs.

The concept of conversation-driven analytics has been around for some time, but it’s just now starting to gain traction because of its potential as part of the trend toward Natural Language Processing (NLP). This technology is also part of the growing interest in artificial intelligence (AI), which uses computers’ ability to learn from experience or observation rather than being told what to do by programmers or humans telling them how things should work.

Why Do We Need Conversational Insights?

To understand the need for conversational-driven business intelligence platforms, one needs to look at the current suite of self-service analytics tools. They started with the noble intention of enabling everyone to derive contextual stories from data, but have metamorphosed into a form that’s undesirable at large. There are three major shortcomings of the current suite of self-service analytics platforms.

Complexity in Usage: These tools demand a certain degree of expertise that requires training, certifications, and more to use. The difficulty of operating these tools exponentially increases with the amount of data being collected and processed.

Additional Overheads: Specialized teams are employed to create reports when the volume and the level of sophistication surpass the expertise of regular IT teams. This adds to the overheads along with licensing costs.

Time Loss: Even for a seasoned user to create dashboards and reports, will take him or her a specific amount of time. The time loss is directly proportional to the volume of reports.

The impact of shortcomings affects businesses heavily, often resulting in loss of revenue.

Information Overload: An excess of information to make a data-driven decision leads to employee burnout, and failing productivity levels.

Painful Delays in Data Access: Time loss in delivering dashboards coupled with information overload hits the business where it hurts. Taking data-driven time-bound decisions.

Hence it’s imperative to implement a different business intelligence system, one that’s intuitive to how humans access information.

Are there any Benefits in Implementing Conversational Insights?

For decades, the adoption of business intelligence tools has hovered in the range of 20–30% of users in an organization. Business Intelligence systems were used only by a few within the organization and not tapping their full potential. Conversational Insights is designed to improve adoption amongst all data users by encouraging them to access insights in the language they speak.

Introducing intuitive business intelligence platforms to the middle and senior management team or whoever is part of the decision-making, will lead to a manifold increase in the company’s revenue. AI-powered conversational insights enable business users to find information on the go. Ad hoc queries can be resolved quickly by BI teams, taking only a few seconds as opposed to days or weeks. What’s more important is that the system will be able to learn and improve continuously.

Enhanced Returns: Enables business users with actionable insights and allows them to uncover business issues even before they occur

Higher user adoption: A straightforward language-based interface that enables even all users in the organization to use the tools with basic training

Data democratization: Access and understand data without analytical, statistical, or data-handling skills

Improved decision-making: A search-driven analytics platform allows users to dive deeper, discover AI/ML-powered insights, and find the most granular information by allowing them to explore data in any direction

The Future of Business Intelligence will be Conversational

Conversational insights is the future of business intelligence and is here to get the most out of available data and make better decisions. Voice-enabled data analytics help HR managers find the right people, engage with them, and build a relationship before they even decide to hire them. This approach enables sales managers to understand customer emotions and build tailored experiences for them. Supply chain personnel can plan to mitigate the risk of dwindling SKUs and proactively plan effective shipping routes. The applications of a conversational insight tool are endless.

"Intrigued to learn more about conversational insights? Check out our webinar where we discuss the story of how conversational insights is revolutionizing the data analytics industry."

This blog was originally published in: https://www.purpleslate.com/what-is-conversational-insights-in-under-5-minutes/

[insurance-brokers-india]

What are the next steps after obtaining an insurance broker license, and how can you generate potential leads using Mzapp CRM software?

Congratulations on securing your insurance broker license! The journey doesn’t end here; it’s just the beginning of building a successful insurance brokerage. Here’s how you can proceed and leverage Mzapp CRM software to find potential leads:

Steps After Getting Your Insurance Broker License

Understand Your Market: Research your target audience (individuals, businesses, or specific sectors).

Develop a Business Plan: Set goals for client acquisition, revenue, and operational processes.

Build a Network: Partner with insurance providers and attend industry events to establish your presence.

Create an Online Presence: Build a professional website and maintain active profiles on social platforms.

Offer Value-Added Services: Educate customers on policies, claims management, and risk assessments.

Using Mzapp CRM Software to Generate Leads

Lead Capture: Utilize Mzapp’s integrated forms and web tracking tools to capture inquiries from your website or social media.

Automated Follow-Ups: Set up personalized email and SMS follow-ups to nurture leads effectively.

Lead Scoring: Prioritize leads based on their interaction history, ensuring you focus on high-potential prospects.

Data-Driven Campaigns: Use analytics to identify what works and launch targeted campaigns.

Seamless Policy Management: Impress leads by showcasing how smoothly you manage policies and claims through Mzapp.

Why Choose Mzapp CRM?

Mzapp CRM simplifies lead management, streamlines operations, and provides insights into customer behavior, making it easier to convert prospects into loyal clients.

Learn more about how Mzapp can transform your insurance business here.

[devintelle]

Using read_group() to Improve Data Analysis in Odoo

Learn how to leverage Odoo's read_group() function for efficient data aggregation and analysis. Enhance reporting by grouping records and calculating totals effortlessly.

[vastedge330]

Unlock actionable insights and drive data-driven decisions with VastEdge’s advanced data analytics services.

[sharycea]

Chatbots For Data Driven Insights

[jcmarchi]

📽 Webinar: How Convirza Scaled SLMs for Real-Time Call Analytics – Without Breaking the Bank

New Post has been published on https://thedigitalinsider.com/webinar-how-convirza-scaled-slms-for-real-time-call-analytics-without-breaking-the-bank/

📽 Webinar: How Convirza Scaled SLMs for Real-Time Call Analytics – Without Breaking the Bank

Companies that rely on analyzing high volumes of data face a core dilemma: how to deliver real-time insights without burning through budget or engineering resources. Convirza, a leader in call analytics, recently faced this exact challenge and found an answer with Predibase’s multi-LoRA serving infrastructure.

Join us on November 21st at 10:00 am PT for an exclusive look into how Convirza transitioned from Longformer models to fine-tuned SLMs, improving speed and accuracy while cutting costs.

Here’s a snapshot of how they did it:

Scalable Multi-LoRA Deployment: With Predibase’s LoRA eXchange, they consolidated 60 LoRA adapters into a single base model deployment that can quickly scale between zero and 10 A100 GPUs, creating a system that automatically meets spikes in traffic.

Sub 2-Second Responses for End-Customers: Convirza’s average response time is now under two seconds, even during peak traffic, ensuring agents and end-users experience minimal delay in critical insights.

Optimized Cost Structure: Instead of dedicated GPUs for each of the 60 indicators—each costing $500-$1,500 per month—Convirza now runs multiple indicators on a single scalable GPU deployment. Monthly expenses plummeted without sacrificing accuracy.

Faster Iterations with SLMs: They swapped out Longformer models for fine-tuned SLMs, reducing the training cycles from 9-24+ hours to less than 3 hours on average per adapter.

Convirza’s team went from costly analytics with long training times and limited accuracy to scalable insights with measurable quality improvements in a matter of weeks. Join us to hear firsthand from Giuseppe Romagnuolo, Convirza’s VP of AI, about how they leveraged Predibase to optimize their infrastructure and sharpen the analytics that power their business.

[hitechnectartrends]

The Role of AI in Shaping Modern Business Practices

Artificial Intelligence (AI) is at the forefront of technological advancements impacting businesses today. Its ability to analyze vast amounts of data quickly and accurately has made it an invaluable tool for organizations looking to enhance their operations.

AI-driven solutions are revolutionizing customer service through chatbots and virtual assistants that provide instant support to customers around the clock. This not only improves customer satisfaction but also reduces operational costs by minimizing the need for extensive human intervention.

In addition, AI enhances decision-making processes by providing predictive analytics that help businesses anticipate market trends and consumer behavior. With these insights, companies can develop strategies that align with customer needs and preferences.

Moreover, AI streamlines operational efficiency by optimizing supply chain management and automating routine tasks. This allows businesses to allocate resources more effectively and respond swiftly to changes in demand.

As AI technology continues to evolve, its integration into business practices will become even more profound, driving innovation and growth across various industries.

[mactionconsulting]

AI Chatbots in Market Research: The New Frontline of Consumer Interaction

Explore how AI chatbots are revolutionizing market research by providing real-time insights, enhancing consumer engagement, and offering cost-effective solutions. Discover the benefits of AI chatbots for gathering valuable data and understanding consumer preferences.

Link : https://maction.com/ai-chatbots-in-market-research-the-new-frontline-of-consumer-interaction/

[rajaniesh]

From Data to Decisions: Empowering Teams with Databricks AI/BI

🚀 Unlock the Power of Data with Databricks AI/BI! 🚀 Imagine a world where your entire team can access data insights in real-time, without needing to be data experts. Databricks AI/BI is making this possible with powerful features like conversational AI

In today’s business world, data is abundant—coming from sources like customer interactions, sales metrics, and supply chain information. Yet many organizations still struggle to transform this data into actionable insights. Teams often face siloed systems, complex analytics processes, and delays that hinder timely, data-driven decisions. Databricks AI/BI was designed with these challenges in…

[easyinsight]

Unlock the Power of Data with My Free Power BI & Microsoft Fabric Pricing Estimator! 🚀

Starting your journey with Power BI or Microsoft Fabric can feel overwhelming, especially if you're new to these powerful tools. From mastering the features to navigating configurations, determining the right licenses and understanding potential costs can add to the confusion. That's why I'm excited to introduce our brand-new, free-to-use Power BI & Microsoft Fabric Pricing Estimator! At Easy Insight, I helped create this tool to simplify your licensing decisions, demystifying the complexities so you can focus on what truly matters—leveraging your data effectively.

The Complexity of Power BI & Microsoft Fabric Pricing

Let’s face it—Microsoft Power BI is incredible for data visualization and business intelligence, and Microsoft Fabric takes it even further with advanced analytics. However, all these fantastic features come with a complex pricing structure. Here’s why it can be so tricky:

Multiple Subscription Plans: With options like Power BI Pro, Power BI Premium per User, and now Microsoft Fabric replacing Power BI Premium Capacity (distinct from Premium per User), each comes with its own pricing model.

Different User Types and Licensing: Not every team member needs the same license, adding another layer of complexity.

Data Volume and Features: Whether you need Co-Pilot, Data Lakehouse, more storage, or frequent data refreshes (up to 48 times a day), these factors significantly impact your licensing needs.

Regional Pricing: Costs can vary based on your business location, complicating things for global teams.

All these elements make it challenging to get a clear picture of your expected expenses, especially when planning for growth or working within a tight budget.

Introducing My New Power BI & Microsoft Fabric Pricing Estimator

To tackle these challenges, I developed the Power BI & Microsoft Fabric Pricing Estimator. This tool offers a transparent and personalized cost estimate, guiding you step-by-step through a few simple questions to understand your business needs better. Whether you’re a small business starting with Power BI or a large enterprise exploring Microsoft Fabric’s advanced features, our estimator adapts to your specific requirements, ensuring you know exactly where your money is going.

See how the Power BI/Microsoft Fabric Cost Calculator can help you find the best pricing and license options for your business.

How the Pricing Estimator Works

Using our Pricing Estimator is incredibly simple and only takes a few clicks. Here’s how it works:

Enter Your Organisation’s Details:

Number of Users: Specify how many people need access and the type of licenses they require (e.g., Power BI Pro, Premium).

Data Usage: Estimate your data consumption to ensure you have the right storage and processing capabilities.

Licensing Preferences: Choose between different licensing options like Pay-As-You-Go or committing to a 12-month plan.

Regional Preferences: Select your operating region (e.g., UK or US) to account for any regional pricing differences.

Generate Your Estimate:

Once you provide your details, the estimator crunches the numbers and delivers a detailed breakdown of your expected monthly and yearly costs.

Review and Adjust:

Examine your estimate and tweak the inputs to explore different scenarios or optimize your budget further.

It’s that simple! Answer a few questions, and I’ll provide you with our licensing recommendations and associated costs.

Current Coverage & Future Expansions

Currently, our Pricing Estimator covers US and UK pricing. I'm continuously working to expand our tool to include more regions, and I need your help! Let me know in the comments which regions you'd like us to add next. Your feedback is invaluable in ensuring our tool meets the needs of businesses like yours around the globe. Together, we can make the Pricing Estimator even more comprehensive and useful for everyone.

Get Started Today: Try the Pricing Estimator

Don’t let licensing complexities hold your organization back from harnessing the full potential of Power BI and Microsoft Fabric. Our Power BI & Microsoft Fabric Pricing Estimator is here to help you make strategic, informed decisions that align with your business intelligence needs. Here’s how to get started:

Visit Our Pricing Estimator Page: Access the tool here.

Enter Your Details: Provide necessary information about your organization’s users, data usage, licensing preferences, and region.

Review Your Estimate: Receive a detailed cost breakdown and explore different licensing scenarios to find the best fit for your budget.

Take Action: Use the information to kickstart your Power BI/Fabric journey, or reach out to our team for further assistance.

Empower Your Business Intelligence Journey

I hope our Power BI & Microsoft Fabric Pricing Estimator equips you with the tools and knowledge needed to make informed, cost-effective licensing decisions. By simplifying the complexities of licensing and pricing, I aim to empower more businesses to take their first step with these invaluable BI tools.

Ready to take the next step? Try our Pricing Estimator today, and remember, if you need personalized support or guidance, the Easy Insight team is here to help!

Frequently Asked Questions (FAQ)

Do I need to sign up for a newsletter or marketing updates to use the Pricing Estimator?

Nope! You can use our Power BI & Microsoft Fabric Pricing Estimator without signing up for any newsletters or marketing communications. However, if you’re interested in staying updated with the latest tips, updates, and exclusive offers from Easy Insight, you’re always welcome to subscribe!

Will you keep or store my data after I use the estimator?

Your privacy is important to us. We do not store any of the data you input into the Pricing Estimator. Once you receive your estimate, all the information you provided is securely deleted from our servers.

Is the Pricing Estimator free to use?

Yes, absolutely! Our Pricing Estimator is completely free to use with no hidden fees or charges—just straightforward, accurate cost estimates tailored to your needs.

Can I get support if I have questions while using the estimator?

Of course! If you have any issues or questions while using the Pricing Estimator, feel free to reach out to our team at Easy Insight. We’re here to help you every step of the way.

When will you add pricing for regions outside the US and UK?

I’m actively working on expanding our Pricing Estimator to include more regions. Let me know in the comments which regions you'd like us to add next, and I’ll prioritize them in future updates.

How often is the pricing information updated in the estimator?

I regularly review and update our Pricing Estimator to ensure accuracy, reflecting any changes in subscription plans, regional pricing, or feature add-ons. You can trust that the estimates you receive are based on the most current data available.

What if my licensing needs change after I use the estimator?

Licensing needs can evolve as your business grows or changes. Simply revisit the tool and update your inputs to get a new estimate. Additionally, our team at Easy Insight is always here to help you reassess and optimize your licensing as needed.