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Salesforce on AI

Salesforce on AI

Marketing success hinges on delivering consistent, timely, and engaging content. According to the Salesforce State of Marketing report, 78% of high-performing marketers identify data as their most critical asset for creating cohesive customer journeys. Yet, only 49% report having a unified view of customer data sources. This disconnect highlights a significant challenge many marketing teams face in effectively leveraging their data. For organizations already invested in Salesforce, incorporating AI-driven business intelligence (BI) tools offers numerous benefits. These include reduced time to deliver insights, enhanced automation, increased innovation, improved agility, and cost savings. However, realizing these benefits depends on having high-quality data and robust data strategies. This insight explores AI-driven BI from a Salesforce perspective, highlighting its benefits, applications, and future trends. By understanding the potential of AI in BI, organizations can better harness their data to drive success and innovation. The Role of AI in Business Intelligence Integrating AI into BI systems elevates data analysis by offering deeper insights and predictive capabilities. Here’s how AI enhances BI: These examples demonstrate AI’s ability to improve BI systems by enhancing data accuracy, providing real-time insights, and improving forecasting. Salesforce’s AI Capabilities in BI Salesforce’s AI capabilities in BI are embodied in the versatile tool, Salesforce Einstein. Easily integrated with BI, Einstein automates tasks and delivers personalized insights. Companies using Einstein have reported a 20% increase in sales productivity. Here’s how Einstein can be utilized in various scenarios: These examples illustrate how Salesforce’s AI tools, particularly Einstein, can transform BI by automating routine tasks and delivering personalized insights, ultimately driving customer satisfaction and business growth. Future Trends in AI and BI The future of AI and BI promises even more advanced capabilities and innovations. As AI evolves, so too will the tools for BI. Here are some trends expected to emerge in the near future: These trends show that AI and BI are evolving rapidly. Companies that stay ahead of these developments will be well-positioned to leverage AI for greater innovation and efficiency. Next Steps AI-powered BI, especially with Salesforce, is transforming how businesses operate by providing deeper insights and better decision-making capabilities. To stay competitive and foster innovation, organizations must embrace AI. The quest is no longer just to be data-driven. It is to be data-decisioned. Here are some actionable steps: By taking these steps, businesses can fully leverage AI-driven BI and maintain a competitive edge in the fast-evolving digital playinf field of AI. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Data and AI Prevent Food Waste

Salesforce Data and AI Prevent Food Waste

FareShare’s Tech-Driven Fight Against Food Waste and Insecurity Every year, around 10 million tons of perfectly edible surplus food goes to waste in the UK, while millions struggle to afford to have enough to eat. This waste not only exacerbates food poverty but also has a significant environmental impact, with greenhouse gases from rotten or wasted food accounting for about half of all global food system emissions. Salesforce Data and AI Prevent Food Waste. Charity FareShare is acutely aware of the severity of the situation. CEO George Wright emphasizes, “If food waste was a country, it would be the third biggest producer of global greenhouse gas emissions behind America and China.” Globally, 30% of food is wasted, and in the UK, it’s 25%, encompassing food thrown away at home, ploughed back into the ground, or wasted in the hospitality and retail industries. FareShare, which started 30 years ago, originally aimed to tackle this issue by redistributing surplus food that would otherwise go to waste. Now, FareShare operates 35 warehouses across the United Kingdom, employing around 600 people and 15,000 volunteers. They collect surplus food from 700 food companies and work with 8,500 charities to redistribute it to school clubs, community centers, and faith groups. Growth Amid Crisis Although FareShare had grown into a national organization, it was still relatively small when COVID-19 hit. Wright explains, “FareShare was about £3 million in terms of fundraising. COVID came and everything boomed.” During the pandemic, demand for FareShare’s services skyrocketed. Collaborations with high-profile figures like footballer Marcus Rashford brought more focus and support. The charity’s fundraising surged from £3 million to as high as £75 million before stabilizing at around £23 million. The amount of food distributed increased from 5,000 tons in the early days to 55,000 tons. The cost-of-living crisis has further exacerbated food insecurity, with the number of people in need more than doubling from six million to 13 million. Wright notes, “The bottom 20% of our society is economically cut adrift. Therefore, we’ve seen demand explode for more and more food. Last year, we did 55,000 tons, that’s 130 million meals. We could easily double or treble that if we had access to the food and the finance.” Salesforce Data and AI Prevent Food Waste To meet this growing demand, FareShare is ramping up its use of technology, particularly Salesforce. Over the past seven years, FareShare has utilized Salesforce’s Sales and Service Cloud to manage customer contacts and some food offers. Recently, FareShare conducted a full review of its operations and technology use, deciding to significantly increase its investment in Salesforce. FareShare is now exploring how Nonprofit Cloud and Data Cloud can benefit the organization. Wright explains, “Why reinvent the wheel? If there’s something great out there, use it and use it quickly.” Nonprofit Cloud provides FareShare with a unified view of its supporters, enabling better management of food and monetary donors. Data Cloud offers a centralized data source, replacing disparate spreadsheets, to improve data management. The aim is to have a holistic view of supporters, including donation history and preferences, to enhance their experience and demonstrate the impact of their contributions. AI components within Salesforce further boost productivity by suggesting tailored communications, drastically reducing the time required for tasks like crafting donor emails. Future Prospects FareShare is in the early stages of integrating Nonprofit Cloud and Data Cloud, aiming to establish these key systems before expanding into the full Salesforce ecosystem. Wright emphasizes the broader benefits of this partnership: “We’re not just getting the tools, we’re getting ways of working.” The primary objective for the additional Salesforce technology is improving fundraising. FareShare needs enhanced tech to scale its supporter base, generate more income, and effectively communicate the impact of donations. Wright envisions leveraging the wider Salesforce ecosystem to connect surplus food with charities in need, optimizing logistics to maximize social impact and minimize costs. The Bigger Picture FareShare sees AI playing a crucial role in tackling food waste and sustainability, potentially linking food sources and surplus across the country to charities in need. Wright concludes, “There’s more food wasted than we tackle and more charities that need more food. If we could connect those with a logistics solution, we could optimize for maximum use of food, minimum use of miles to get it to them. Maximum social impact, minimal cost. There’s a big tech opportunity there.” By harnessing the power of technology and strategic partnerships, FareShare aims to continue its mission to reduce food waste and food insecurity, creating a more sustainable and equitable future. Salesforce Data and AI Prevent Food Waste Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Agentic AI is Here

Agentic AI is Here

Embracing the Era of Agentic AI: Redefining Autonomous Systems A new paradigm in artificial intelligence, known as “Agentic Artificial Intelligence,” is poised to revolutionize the capabilities of the known autonomous universe. This cutting-edge technology represents a significant leap forward in AI-driven decision-making and action, promising transformative impacts across various industries including healthcare, manufacturing, IT, finance, marketing, and HR. Agents are the way to go! There is no two ways about this. Looking into the progression of the Large Language Model based applications since last year, its not hard to see that the Agentic Process (agents as reusable, specific and dedicated single unit of work) — would be the way to build Gen AI applications. What is Agentic AI? Agentic Artificial Intelligence marks a departure from traditional AI models that primarily focus on passive observation and analysis. Unlike its predecessors, which often require human intervention to execute tasks, Agentic AI systems possess the autonomy to initiate actions independently based on their assessments. This allows them to navigate much more complex environments and undertake tasks with a level of initiative and adaptability previously unseen. At least outside of sci-fy movies. Real-World Applications of Agentic Artificial Intelligence Healthcare In healthcare, Agentic AI systems are transforming patient care. These systems autonomously monitor vital signs, administer medication, and assist in surgical procedures with unparalleled precision. By augmenting healthcare professionals’ capabilities, these AI-driven agents enhance patient outcomes and streamline care processes. Augmenting is the key word, here. Manufacturing and Logistics In manufacturing and logistics, Agentic AI optimizes operations and boosts efficiency. Intelligent agents handle predictive maintenance of machinery, autonomous inventory management, and robotic assembly. Leveraging advanced algorithms and sensor technologies, these systems anticipate issues, coordinate complex workflows, and adapt to real-time production demands, driving a shift towards fully autonomous production environments. Customer Service Within enterprises, AI agents are revolutionizing business operations across various departments. In customer service, AI-powered chatbots with Agentic Artificial Intelligence capabilities engage with customers in natural language, providing personalized assistance and resolving queries efficiently. This enhances customer satisfaction and allows human agents to focus on more complex tasks. Marketing and Sales Agentic Artificial Intelligence empowers marketing and sales teams to analyze vast datasets, identify trends, and personalize campaigns with unprecedented precision. By understanding customer behavior and preferences at a granular level, AI agents optimize advertising strategies, maximize conversion rates, and drive revenue growth. Finance and Accounting In finance and accounting, Agentic AI streamlines processes like invoice processing, fraud detection, and risk management. These AI-driven agents analyze financial data in real time, flag anomalies, and provide insights that enable faster, more informed decision-making, thereby improving operational efficiency. Ethical Considerations of Agentic Artificial Intelligence The rise of Agentic AI also brings significant ethical and societal challenges. Concerns about data privacy, algorithmic bias, and job displacement necessitate robust regulation and ethical frameworks to ensure responsible and equitable deployment of AI technologies. Navigating the Future with Agentic AI The advent of Agentic AI ushers in a new era of autonomy and innovation in artificial intelligence. As these intelligent agents permeate various facets of our lives and enterprises, they present both challenges and opportunities. To navigate this new world, we must approach it with foresight, responsibility, and a commitment to harnessing technology for the betterment of humanity. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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MuleSoft B2B and B2C With AI

MuleSoft B2B and B2C With AI

Salesforce yesterday announced new solutions to help streamline and accelerate end-to-end order lifecycle management: MuleSoft’s Anypoint Partner Manager with Intelligent Document Processing (IDP) and MuleSoft Accelerator for Salesforce Order Management. MuleSoft B2B and B2C With AI. Together, these business-to-business (B2B) and business-to-consumer (B2C) integration solutions make it easier to connect essential data across third-party applications, Salesforce OMS, and partner ecosystems – all within MuleSoft. Enhanced with AI, these new solutions help IT teams unify data from multiple data and system sources to achieve end-to-end order visibility, improved efficiency, and customer satisfaction. Why it matters: IT teams are inundated with requests to integrate disparate systems and adopt different technologies. And IT teams in retail, consumer goods, manufacturing, logistics, and healthcare must manage the thousands of daily transactions between suppliers and buyers across the supply chain ecosystem. To add to the complexity, 75% of B2B digital sales occur via standardized Electronic Data Interchange (EDI) and specialized solutions are needed to handle these transactions. Go deeper: Anypoint Partner Manager with IDP is a cloud-native B2B integration solution that accelerates partner onboarding and operational management of both API and EDI-based transactions through the commerce and supply chain lifecycle. It provides visibility tools to accurately monitor the health of partner transactions along with key business and operational insights like overall order frequency and volume, shipment statuses, and more. By utilizing IDP, developers can leverage AI to extract, read, and store unstructured data from documents such as invoice and purchase order PDFs, surfacing it in systems of record and order management systems like Salesforce OMS. IT and business teams can rapidly develop integrations and APIs, monitor and manage their performance, and secure them in compliance with partner requirements, all through a single pane of glass. New capabilities of MuleSoft B2B and B2C With AI include: MuleSoft Accelerator for Salesforce OMS makes it easier and faster to achieve end-to-end order visibility across channels from a centralized hub. The accelerator includes pre-built APIs, connectors, implementation templates, and other technical assets for Anypoint Platform to unify B2B orders with Salesforce OMS and connect all B2B and B2C orders to enterprise resource planning (ERP) systems. By leveraging the available out-of-the-box integration assets, customers can significantly reduce the development time required for integrating systems and accelerate time to market. MuleSoft B2B and B2C With AI. New capabilities of this offering include: Industry Use Cases: Customer perspective: “We were struggling with disjointed technology that was causing order and shipping delays while hampering our ability to innovate across our ecosystem,” said Jeff Blank, VP, Finance & Infrastructure at Jillamy. “MuleSoft’s Anypoint Partner Manager helped accelerate our partner onboarding processes with seamless B2B integration and more efficient management of our EDI transactions.” Salesforce perspective: “B2B and B2C integrations are critical to the success of supply chain management. From getting berries out of the farm or medical devices to hospitals, organizations across the globe are looking for a unified solution to manage and securely monitor their business partner transactions. With Anypoint Partner Manager and MuleSoft Accelerator for OMS, our customers can use our technology to build a composable business ecosystem that meets business partner compliance standards and drives end-to-end supply chain and commerce processes with efficiency, visibility, and speed.” – Andrew Comstock, VP, Product Management With Anypoint Partner Manager and MuleSoft Accelerator for OMS, our customers can use our technology to build a composable business ecosystem that meets business partner compliance standards and drives end-to-end supply chain and commerce processes with efficiency, visibility, and speed. Andrew Comstock, VP, Product Management Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and Loop

Salesforce and Loop

Loop, the premier returns and reverse logistics platform, has extended its acclaimed returns management software to merchants using Salesforce Commerce Cloud, marking a significant expansion beyond Shopify’s realm. This integration offers enterprise merchants on Salesforce Commerce Cloud access to Loop’s renowned returns management solution, effectively easing the complexities associated with customer returns. Merchants leveraging Salesforce Commerce Cloud will now have the advantage of Loop’s user-friendly returns management software, facilitating streamlined reverse logistics processes. This integration aims to bolster profit margins by reducing the costs associated with returns and providing customers with a modern, exchange-centric returns experience. Key benefits for merchants include: Jonathan Poma, CEO of Loop, expressed enthusiasm about extending Loop’s acclaimed returns solution to Salesforce Commerce Cloud merchants, citing the increasing demand from brands outside the Shopify ecosystem. He highlighted Loop’s commitment to delivering a seamless experience characterized by ease of use, operational efficiency, and cost savings. Loop’s integration with Salesforce Commerce Cloud enables merchants to effortlessly manage item exchanges, synchronize order data, automate returns processes, leverage analytics for continuous improvement, and more. Merchants operating on Salesforce Commerce Cloud can explore early adoption opportunities by scheduling a demo with Loop’s team. Loop will also be present at Salesforce Connections 2024 in Chicago, inviting interested parties to schedule meetings to discover how Loop can streamline reverse logistics processes and reduce costs associated with returns. About Loop: Loop is a leading post-purchase platform specializing in returns, exchanges, and reverse logistics for over 3,500 renowned brands worldwide. With innovative features like Workflows, Instant Exchanges, Shop Now, and Bonus Credit, Loop empowers brands to unlock cost savings, enhance customer lifetime value, and retain more revenue. Having processed over 40 million returns to date, Loop continues to redefine post-purchase experiences. Learn more at www.loopreturns.com. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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More Sustainable and Equitable Future Through AI

More Sustainable and Equitable Future Through AI

Salesforce has unveiled a series of initiatives aimed at fostering a more sustainable and equitable future through AI. The company has introduced its Sustainable AI Policy Principles, a framework designed to guide AI regulation with a focus on minimizing environmental impact and promoting climate innovation. Additionally, Salesforce has selected five new nonprofits for its Salesforce Accelerator – AI for Impact, which targets climate action. This initiative will enable these purpose-driven organizations to harness AI solutions to tackle the pressing challenges of climate change. Why It Matters Prioritizing responsible AI development is crucial for leveraging technology to make a positive impact while ensuring that equity and sustainability remain central. Salesforce Sustainable AI Policy PrinciplesRead Them Here Key Aspects of the Principles The Sustainable AI Policy Principles extend Salesforce’s commitment to advocating for science-based policies that support a just and equitable transition to a 1.5-degree future. These principles offer best practices for lawmakers and regulators on: Salesforce is also the first tech company to support the Transformational AI to Modernize the Economy (TAME) legislation, which aims to enhance AI’s role in predicting and responding to extreme weather events. The AI for Impact Accelerator The AI for Impact cohort will support climate-focused nonprofits with technology, investments, and philanthropy to develop AI solutions that benefit the environment. Alongside product donations and $2 million in funding, these organizations will work on AI-powered initiatives in three crucial areas: Participants will also receive a year of pro bono consulting from Salesforce experts in strategy, planning, responsible AI use, data strategy, and technical architecture. Accelerator Participants Include: Moving Forward Suzanne DiBianca, EVP and Chief Impact Officer at Salesforce, emphasizes the importance of developing equitable and sustainable AI technology. “With AI transforming our lives and work, it is vital to ensure the technology is developed responsibly. We are excited to support climate nonprofits committed to sustainable AI innovation and advocate for clear policies that guide responsible AI development.” Quotes from Participants: Together, these efforts aim to accelerate the positive impact of technology, ensuring it benefits everyone and supports a sustainable future. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI Project Planning by Data

AI Project Planning by Data

Starting with Data Step 1: Identify Core Data Stores Begin by listing the primary data sources tied to the business functions you are investigating. While it may be unrealistic to catalog every possible data source within the company, the task becomes manageable by narrowing the focus to specific departments (e.g., customer service, marketing, legal) or broader goals (e.g., “increasing manufacturing efficiency” or “improving customer loyalty and cart value”). Step 2: Align Data with Business Processes For each data set, hypothesize how it might enhance or streamline business workflows. Consider questions like: By linking the data to these business use cases, you start to uncover the potential value of integrating data into key workflows. Step 3: Validate Business Cases with Experts Once you’ve identified how data could be valuable, collaborate with data scientists and subject matter experts (SMEs) to review and refine your hypotheses. Create a formal list of use cases that clearly outline how data, algorithms, and business workflows could come together to add value or automate a process. This ensures a practical approach for leveraging data to drive business outcomes. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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AI Project Planning by Workflows

AI Project Planning by Workflows

Starting with Workflows-AI Project Planning by Workflows Step 1: Identify Key Business Processes Begin by listing out the most critical and repetitive processes in the business. This includes: Step 2: Pinpoint AI Integration Opportunities Break down each business process to identify specific decision points where AI can add value. Examples include: Step 3: Determine Relevant Data Sources Next, brainstorm the types of data that could help solve these problems. Organize potential data sources by factors such as: Step 4: Evaluate Data Viability Once you’ve matched problems with potential data sources, assess the practicality of using that data. Investigate the quality, accessibility, and relevance of the data to ensure it aligns with the business use case. AI Project Planning by Workflows. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Big Data and Data Visualization

Big Data and Data Visualization Explained

Data Visualization: Turning Complex Data into Clear Insights Data visualization is the practice of converting information into visual formats, such as maps or graphs, to make data more accessible and understandable. The primary purpose of data visualization is to highlight patterns, trends, and outliers within large data sets, allowing users to quickly glean insights. The term is often used interchangeably with information graphics, information visualization, and statistical graphics. The Role of Data Visualization in Data Science Data visualization is a crucial step in the data science process. After data is collected, processed, and modeled, it must be visualized to draw meaningful conclusions. It’s also a key component of data presentation architecture, a discipline focused on efficiently identifying, manipulating, formatting, and delivering data. Importance Across Professions Data visualization is essential across various fields. Teachers use it to display student performance, computer scientists to explore AI advancements, and executives to communicate information to stakeholders. In big data projects, visualization tools are vital for quickly summarizing large datasets, helping businesses make informed decisions. In advanced analytics, visualization is equally important. Data scientists use it to monitor and ensure the accuracy of predictive models and machine learning algorithms. Visual representations of complex algorithms are often easier to interpret than numerical outputs. Historical Context of Data Visualization Data visualization has evolved significantly over the centuries, long before the advent of modern technology. Today, its importance is more pronounced, as it enables quick and effective communication of information in a universally understandable manner. Why Data Visualization Matters Data visualization provides a straightforward way to communicate information, regardless of the viewer’s expertise. This universality makes it easier for employees to make decisions based on visual insights. Visualization offers numerous benefits for businesses, including: Advantages of Data Visualization Key benefits include: Challenges and Disadvantages Despite its advantages, data visualization has some challenges: Data Visualization in the Era of Big Data With the rise of big data, visualization has become more critical. Companies leverage machine learning to analyze vast amounts of data, and visualization tools help present this data in a comprehensible way. Big data visualization often employs advanced techniques, such as heat maps and fever charts, beyond the standard pie charts and graphs. However, challenges remain, including: Examples of Data Visualization Techniques Early computer-based data visualizations often relied on Microsoft Excel to create tables, bar charts, or pie charts. Today, more advanced techniques include: Common Use Cases for Data Visualization Data visualization is widely used across various industries, including: The Science Behind Data Visualization The effectiveness of data visualization is rooted in how humans process information. Daniel Kahneman and Amos Tversky’s research identified two methods of information processing: Visualization Tools and Vendors Data visualization tools are widely used for business intelligence reporting. These tools generate interactive dashboards that track performance across key metrics. Users can manipulate these visualizations to explore data in greater depth, and indicators alert them to data updates or important events. Businesses might use visualization of data software to monitor marketing campaigns or track KPIs. As tools evolve, they increasingly serve as front ends for sophisticated big data environments, assisting data engineers and scientists in exploratory analysis. Popular data visualization tools include Domo, Klipfolio, Looker, Microsoft Power BI, Qlik Sense, Tableau, and Zoho Analytics. While Microsoft Excel remains widely used, newer tools offer more advanced capabilities. Data visualization is a vital subset of the broader field of data analytics, offering powerful tools for understanding and leveraging business data across all sectors. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce for Transportation and Logistics

Transportation, Logistics, The Cloud, and CRM

Transportation and logistics and crm. Typically, the state of transportation and logistics (T&L) mirrors the state of the economy, with FedEx earnings serving as a reliable indicator of how the rest of the players in the industry are doing. However, the past few years have been anything but normal. The pandemic led to a surge in demand, marked by container-filled ports and a nationwide hunt for truck drivers. After navigating two years of high intensity, T&L now faces challenges such as inflation, the Ukraine war, ongoing supply chain disruptions, the threat of recession, climbing interest rates, higher fuel costs, and overly cautious consumer behavior. Where are the Challenges? Compounding these issues is a staffing crisis in the industry, with a global shortage of warehouse workers, dock personnel, drivers, pilots, and rail crews that is expected to persist. In such uncertain times, successful transportation and logistics companies are taking strategic steps to future-proof themselves. One key strategy involves unifying customer data on a single platform to enhance efficiency and readiness for various scenarios. Smart transportation and logistics organizations plan for best, expected, and worst-case scenarios by monitoring critical signals such as capacity in key lanes, customer spending by lane, and customer lifetime value. Unifying customer data across sales, service, and operations enables informed decision-making, focusing investments where needed and optimizing resources. Manual Processes Despite this, much of T&L business, especially in sales, marketing, and customer service, relies on manual processes like phone calls, spreadsheets, and email. Centralized customer data is crucial for applying intelligence and analytics to process trends, segmenting customers, and analyzing their value. Companies investing in data unification report significant cost savings and efficiency benefits, including a 25% reduction in IT costs. Centralized customer data is also leveraged to enhance shipper experiences. T&L leaders use artificial intelligence (AI) to predict customer retention and potential churn, allowing proactive steps to be taken. Real-time data intelligence empowers customer service agents to make informed decisions swiftly. Access to shipper-specific on-time delivery performance provides valuable insights and strengthens client relationships. Transportation and Logistics and CRM More than half of T&L organizations are investing in cloud connectivity and data sharing, with 18% deriving the most value in sales and marketing, customer relationship management (CRM), distribution, and end-to-end visibility. These strategic investments are proving instrumental in navigating the complexities of the current economic landscape. Is it time to explore Salesforce CRM for your company? Contact Tectonic today. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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