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Salesforce Success Story
05Jul

Case Study: Google Cloud and Tableau Ecommerce Success

An industry leader in lifesciences research and ecommerce, is tasked with integrating recent acquisitions, standardizing processes, and improving marketing return-on-investment. Ecommerce company moves to the cloud and adopts Google Cloud and Tableau to improve sales and operational efficiency. Google Cloud and Tableau Ecommerce Success to the rescue. Industry: Lifesciences and Biotechnology Research Problem: Leadership requested help driving an improved culture of proactive decision-making, rather than reactive. Implemented : Our solution? Results: Salesforce offers customized solutions for the ecommerce industry, assisting companies in this field to provide outstanding customer experiences, optimize workflows, and spur growth and brand loyalty. Salesforce offers digital transformation technology for life sciences, ecommerce, and biotechnology research industries. If you are considering a Salesforce health and life sciences implementation, contact Tectonic today. Like2 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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July 5, 2023in Salesforce, Salesforce Commerce Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services, Salesforce Optimization, Salesforce Success Stories, Salesforce Tableau
Cloud Analytics
30May

Cloud Analytics Explained

Understanding Cloud Analytics Cloud analytics refers to leveraging cloud computing resources to conduct data analysis more efficiently. It involves using advanced analytical tools to extract insights from vast datasets, presenting information in a user-friendly format accessible via web browsers. Core Concepts of Cloud Analytics Explained Cloud analytics shifts traditional data analytics operations, such as processing and storage, to public or private cloud environments. Similar to on-premises analytics, cloud solutions facilitate pattern identification, predictive modeling, and business intelligence (BI) insights. They leverage cloud technologies and algorithms, notably artificial intelligence (AI), including machine learning (ML) and deep learning (DL). Operational Framework of Cloud-Based Analytics Cloud analytics platforms offer capabilities to build, deploy, scale, and manage data analytics solutions in a cloud-based infrastructure. Examples include cloud enterprise data warehouses, data lakes, and on-demand BI and marketing analytics. Users can subscribe to services under flexible pricing models, alleviating concerns about scalability, performance, and maintenance. Types of Cloud Analytics Cloud-based analytics solutions vary by deployment model: Key Features and Benefits Cloud analytics offers several advantages: Applications and Use Cases Cloud analytics supports diverse applications, including: Comparing Cloud Analytics with Traditional Data Analytics Cloud analytics leverages cloud infrastructure for scalable and flexible data processing, contrasting with traditional analytics tools deployed on-premises. This shift enhances agility and accessibility while reducing operational complexities and costs. Why Cloud Analytics Matters Cloud analytics empowers organizations to harness actionable insights efficiently, driving informed decision-making and competitive advantage. It streamlines operations, fosters collaboration, and enhances data reliability and strategic planning capabilities. Adopting cloud-based analytics enables businesses to transform data into valuable intelligence, fueling innovation and growth. By leveraging cloud-based resources, organizations can achieve operational excellence, secure data-driven insights, and maintain a competitive edge in today’s dynamic business landscape. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 30, 2023in Salesforce
Salesforce Success Story
18Feb

Case Study: Salesforce Innovation for Hospitality

Major hospitality management firm, moves to the cloud and adopts Google Cloud and Salesforce to improve operational insights and decision-making. Tectonic assisted them to move to the cloud and obtatin quicker, actionable insights with business intelligence. Salesforce Innovation for Hospitality.

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February 18, 2023in Google Analytics, Salesforce, Salesforce Development Services, Salesforce Hospitality Travel and Transportation, Salesforce Implementation Services, Salesforce Optimization, Salesforce Success Stories
Salesforce Einstein and Einstein Automate
21Jan

Lead Conversion at the Speed of Einstein

The primary challenges faced by businesses today revolve around lead generation and conversion. Lead conversion with Einstein is fast. Tectonic proudly offers comprehensive solutions for both challenges through the implementation and customization of Salesforce Einstein Lead Scoring. Salesforce Einstein Lead Scoring, a pivotal feature within Sales Cloud Einstein, leverages artificial intelligence to empower sales representatives in converting leads more efficiently. By analyzing historical sales data, Einstein Lead Scoring determines the likelihood of a lead converting into an opportunity. This predictive intelligence enables sales teams to segment and prioritize leads for faster conversion. Tectonic and Lead Conversion with Einstein Let Tectonic’s’ customization and implementation services ensure that your company maximizes the value derived from Sales Cloud Einstein, setting your sales representatives up for success. The factors influencing lead conversion, as predicted by Einstein Lead Scoring, are conveniently displayed on each lead record in Salesforce, aiding sales reps in quick preparation for calls and interactions. Lead Conversion with Einstein Einstein Lead Scoring models are uniquely built for each customer and organization, analyzing standard and custom fields through various predictive models. The machine learning behind Einstein continuously improves accuracy by updating models monthly. This ensures that leads are scored every hour using the latest model, promptly adapting to any changes in lead data. Truly, the power of Einstein Lead Scoring lies in its ability to discover insights, predict lead conversion likelihood, and provide automatic insights into the newly determined score. Studies indicate that AI-powered companies spend less time prospecting and more time actively growing revenue. Einstein Lead Scoring allows your company to focus more on selling and less on prospecting, leading to faster lead conversion and shorter sales cycles. Tectonic assists in automating sales and marketing processes, integrating the capabilities of Einstein Lead Scoring into your business. With zero setup requirements, custom lead score-driven workflows, and smart lead lists. Einstein Lead Scoring ensures that your sales teams work smarter and faster. The Lead Score Your Lead Score field added by Einstein Lead Scoring in your Salesforce org lets sales and marketing teams prioritize leads. This is based on similarities to prior converted leads. Through data science and machine learning, Einstein Lead Scoring offers a faster and more accurate solution. When compared to traditional rules-based lead scoring. Your Salesforce admin, or Tectonic’s Salesforce team, can set up Einstein Lead Scoring to score all leads together. Or group them into segments based on field criteria. The dashboard provides key lead score metrics. By offering insights into average lead score by lead source, conversion rate by lead score, and lead score distribution across converted and lost opportunities. Sales Cloud Einstein Sales Cloud Einstein, with Einstein Lead Scoring, is a ready-to-use set of tools that learn from Salesforce CRM data and activities, continuously enhancing its predictions. Because Sales Cloud Einstein includes additional features such as Salesforce Inbox and Einstein Activity Capture. Einstein Opportunity Insights offers smart reminders or tasks for nurturing customer relationships. Einstein Lead Scoring helps prioritize leads for conversion. Incorporating Sales Cloud Einstein and Einstein Lead Scoring into your sales and marketing strategy can yield a great return. Your Salesforce investment will fill your opportunity pipeline. Contact Tectonic for a free consultation to explore how Sales Cloud Einstein can accelerate lead conversion for your business. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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January 21, 2022in Artificial Intelligence, Data, Einstein Insights, Salesforce, Salesforce Einstein, Salesforce Sales Cloud
Financial Services Sector
13May

Salesforce Unites Einstein Analytics with Financial CRM

Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Services Cloud with Einstein Analytics. This amalgamation, known as Einstein Analytics for Financial Services, harnesses Salesforce’s robust query engine and interpretation layers, fueled by the enterprise data analytics prowess acquired through BeyondCore in 2016. Salesforce Unites Einstein Analytics with Financial CRM This integrated platform – Salesforce Unites Einstein Analytics with Financial CRM – offers two prebuilt analytical models, meticulously designed to gauge client churn (identifying clients at risk of leaving) and the potential for clients to bring additional assets to a firm. These models, while prepackaged, can be tailored to specific needs, providing insights into future scenarios within the firm. Advisors can leverage these models to assess client characteristics against firm-wide benchmarks and receive actionable suggestions to enhance client retention. Home office professionals and data scientists have the option to delve into the underlying mathematical frameworks of these models, allowing for customization if required. While the tool offers enterprise-level benchmarking, firms can incorporate their own industry-specific data to run the models, ensuring tailored insights. This initiative builds upon previous endeavors integrating machine learning into Financial Services Cloud, which aimed to identify crucial life events and offer actionable recommendations. The decision to develop a more holistic solution stemmed from observing customer behavior and the growing trend of custom dashboard creation. By streamlining and prepackaging these insights, Salesforce aims to accelerate adoption and empower users to focus on their core tasks. Although customization remains a key feature, the platform aims to simplify adoption by providing templated solutions. However, the efficacy of insights depends on the quality of the ingested data, emphasizing the importance of data aggregation and normalization. Future updates are expected to introduce additional machine learning models focused on reducing heldaway assets and increasing assets under management. Developed in collaboration with diverse stakeholders, ranging from enterprise financial advisors to firms of varying sizes, the service is priced at $150 per user per month. It’s not a standalone product and requires integration with Financial Services Cloud or Einstein Analytics Plus. Like2 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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May 13, 2019in Data, Einstein Insights, Enterprise, Google, Salesforce, Salesforce Financial Cloud, Salesforce Financial Services Solutions
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