ADA Archives - gettectonic.com - Page 21
Quest to be Data-Driven
14Jul

Quest to be Data-Driven

“Data-driven” is a business term that refers to the utilization of data to inform or enhance processes, decision making, and even the revenue model. The quest to be data-driven is afoot. In recent years, a data-driven business approach has gained a great deal of traction. It is true that every business deals with data — however, data-driven businesses systematically and methodically use data to power business decisions. Incorporating the notion of being a data-driven enterprise enriches the understanding of how data can profoundly impact business operations. Leveraging data not only offers valuable insights but also enhances adaptability, thereby sharpening the competitive edge of an organization. These insights serve as a foundation for making market predictions and adapting business strategies accordingly, often leading to revenue growth. While data may not provide solutions to all organizational challenges, embracing a data-driven approach lays a solid groundwork for achieving organizational goals. Data-driven contrasts with decision making that may be driven by emotions, external pressure, or instinct. So, what exactly constitutes a data-driven enterprise? It transcends mere number-crunching; it involves creating sustainable value for customers and innovating efficiently in the digital economy. Encouraging a data-driven approach across all facets of the business is paramount to success. Gaining data insights from data is invaluable. It allows organizations to reshape customer interactions, provided the data is accurate, accessible, and integrated into existing processes. However, many struggle to extract value from their data due to the complexity of transforming raw data into actionable insights. Understanding the hierarchy of data, information, and insights is crucial, as actionable insights drive data-driven success. Furthermore, adaptability emerges as a crucial factor in today’s rapidly evolving landscape. The ability to swiftly respond to changes and leverage data for informed decision-making is paramount. Data-driven insights serve as powerful tools for facilitating change and fostering agility, ensuring organizations remain competitive. Moreover, data serves as a catalyst for revenue generation through various business models such as Data as a Service (DaaS), Information as a Service (IaaS), and Answer as a Service (AaaS). By putting customer satisfaction at the forefront and leveraging data-driven insights, organizations can evolve their products proactively and drive growth. Building a data-driven enterprise involves a strategic approach encompassing nine key steps, including defining end goals, setting tangible KPIs, and fostering a data-driven culture across the organization. However, challenges such as deciding what to track, lack of tools or time for data collation, and turning data into meaningful insights may arise. Overcoming these challenges requires a cultural shift towards data-driven decision-making and the adoption of modern data architectures. Walking (or perhaps running) the data-driven journey with Tectonic involves connecting and integrating various data sources to ensure seamless data flow. By embracing a data-driven approach, organizations can unlock the full potential of their data, driving innovation, enhancing customer experiences, and achieving long-term success in today’s dynamic, rapidly evolving business landscape. Expanding upon this foundation, let’s go deeper into the transformative power of data-driven enterprises across various industry sectors. Consider, for instance, the retail industry, where data-driven insights revolutionize customer experiences and optimize operational efficiency. In the retail sector, understanding consumer behavior and preferences iscrucial to daily, quarterly, and annual success. By harnessing data analytics, retailers can analyze purchasing patterns, demographic information, and social media interactions to tailor marketing strategies and product offerings. For example, through personalized recommendations based on past purchases and browsing history, retailers can enhance customer engagement and drive sales. Moreover, data-driven insights enable retailers to optimize inventory management and supply chain operations. By analyzing historical sales data and demand forecasts, retailers can anticipate fluctuations in demand, minimize stockouts, and reduce excess inventory. This not only improves operational efficiency but also enhances customer satisfaction by ensuring products are readily available when needed. Furthermore, in the healthcare industry, data-driven approaches revolutionize patient care and treatment outcomes. Electronic health records (EHRs) and medical imaging technologies generate vast amounts of data, providing healthcare professionals with valuable insights into patient health and treatment efficacy. By leveraging predictive analytics and machine learning algorithms, healthcare providers can identify patients at risk of developing chronic conditions, enabling early intervention and preventive care. Additionally, data-driven approaches facilitate personalized treatment plans tailored to each patient’s unique medical history, genetic makeup, and lifestyle factors, improving treatment outcomes and patient satisfaction. In the manufacturing sector, data-driven strategies optimize production processes, enhance product quality, and reduce operational costs. By implementing Internet of Things (IoT) sensors and connected devices on the factory floor, manufacturers can collect real-time data on equipment performance, energy consumption, and production efficiency. Analyzing this data enables manufacturers to identify inefficiencies, minimize downtime, and proactively schedule maintenance to prevent costly equipment failures. Moreover, data-driven insights inform process improvements and product innovations, enabling manufacturers to stay competitive in an increasingly globalized market. The ultimately transformative impact of data-driven enterprises extends across various industry sectors, revolutionizing business operations, enhancing customer experiences, and driving innovation. By embracing a data-driven approach and leveraging advanced analytics technologies, organizations can unlock new opportunities for growth, efficiency, and competitive advantage in today’s data-loaded digital economy. Becoming data-driven requires harnessing the full potential of your data, transforming it into actionable insights, and iteratively refining your processes. Remember, data itself is not the ultimate goal but rather a powerful tool to drive informed decision-making and organizational growth. To establish a truly data-driven organization, consider the following nine steps: By following these steps, your organization can effectively harness the power of data to drive innovation, improve decision-making, and achieve sustainable growth in today’s data-driven landscape. Tectonic recognizes the challenges in the quest to be data-driven. We’ve launched a Data Cloud Salesforce Implementation Solution to help you. Content updated May 2024. 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,

Read More
July 14, 2021in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Technology
Python Alongside Salesforce
17Jun

Salesforce and Python

Python is not essential for Salesforce, but it can be extremely useful for various tasks, such as data analysis, automation, and integration: Salesforce’s Primary Programming Languages Salesforce’s primary programming language is Apex, which is used for backend development. For the frontend, Visualforce is used to build the user interface. Apex is similar to Java and allows developers to embed business logic within system events. Automating Data Extraction for Analysis In many organizations, analysts often need to automate the process of extracting data from Salesforce objects to perform data analysis or build reports locally. Previously, analysts followed a manual and time-consuming process to create KPI reports, which included: This method was prone to errors and inefficiencies. Fortunately, Python scripts and Salesforce’s API can automate the entire process. Retrieving Salesforce Data Using Python To get started, install the Simple Salesforce package, an open-source Python library that enables easy interaction with Salesforce’s REST API. This allows users to either download pre-built reports directly from Salesforce or create custom datasets using SOQL (Salesforce Object Query Language). Set Up Your Python Package and API Access Accessing Salesforce Data There are two primary methods for retrieving Salesforce data into a Python DataFrame: Automating Data Processing and Reporting Once you have your data in a DataFrame, you can perform data wrangling and aggregation tasks. You can export the results to a Google Sheet using the Google Sheets API and the pygsheets package, or ingest the data into a database table. aFurthermore, you can schedule your Python script to run automatically using a tool like Apache Airflow, which will run the script at designated intervals, aggregate the data, and update dashboards with the latest information. This approach automates the entire reporting process, saving time and reducing the likelihood of errors in your workflow. 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

Read More
June 17, 2021in Data, Google, Salesforce
Sensitive Information De-identification
02Feb

Sensitive Information De-identification

Using Google Cloud Data Loss Prevention with Salesforce for Sensitive Data Handling This insight discusses the transition from detecting and classifying sensitive data to preventing data loss using Google Cloud Data Loss Prevention (DLP). Sensitive Information De-identification for Salesforce is used as the data source to demonstrate how personal, health, credential, and financial information can be de-identified in unstructured data in near real-time. Overview of Google Cloud DLP Google Cloud DLP is a fully managed service designed to help discover, classify, and protect sensitive data. It easily transitions from detection to prevention by offering services that mask sensitive information and measure re-identification risk. Objective The goal was to demonstrate the ability to redact sensitive information in unstructured data at scale. Specifically, it aimed to determine whether sensitive data, such as credit card numbers, tax file numbers, and health care numbers, entered into Salesforce communications (Emails, Files, and Chatter) could be detected and redacted. Constraints Tested De-identifying Data with Google Cloud DLP API Instead of detailing the setup, this section focuses on the key areas of design. Google Design Decisions Supporting Disparate Data Sources with Multiple Integration Patterns and Redundant Design Salesforce Data Source De-identification targets include email addresses, Australian Medicare card numbers, GCP API keys, passwords, and credit card numbers. Credit card numbers are masked with asterisks, while other sensitive data is replaced with information types for readability (e.g., [email protected] becomes [redacted-email-address]). Sample Requests to Google De-identification Service JSON Structure to De-identify Text Using Google Cloud DLP API jsonCopy code{ // JSON structure } JSON Structure to De-identify Images Using Google Cloud DLP API jsonCopy code{ // JSON structure } Salesforce Design Decisions Redundancy and Batch Processing A scheduled batch job allows for recovery by polling unprocessed records. To handle large data volumes (e.g., 360,000 records over 5 days), the Salesforce BULK API is used to process queries and updates in large batch sizes, reducing the number of API calls. Sensitive Information De-identification Google Cloud Data Loss Prevention allows detecting and protecting assets with sensitive information, supporting a wide range of use cases across an enterprise. Proven Capabilities: Considerations and Lessons Learned Enhanced Email: Redacting tasks and EmailMessage records, handling read-only EmailMessage records by deleting and recreating them. Files: The architecture assumes files with sensitive data can be deleted and replaced with redacted versions. Audit Fields: Ensure setting CreatedDate and LastModifiedDate fields using original record dates. Field History Tracking: Avoid tracking fields intended for de-identification, tracking shadow fields instead. Image De-identification: Limited to JPEG, BMP, and PNG formats, with DOCX and PDF not yet supported. 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

Read More
February 2, 2021in Salesforce
Salesforce Document Generation
18Jul

Generating Documents in Salesforce

Salesforce document generation poses a challenge for businesses, given the intricacies of integration involved. Fortunately, a variety of tools are available for generating documents in Salesforce, and Tectonic is well-equipped to assist in their successful implementation. Salesforce Industries Document Generation empowers businesses to craft and manage accurate documents linked to standard Salesforce objects, encompassing contracts, opportunities, orders, quotes, and custom objects. For a more dynamic approach, Salesforce OmniStudio Document Generation facilitates the creation of documents using Microsoft Word and Microsoft PowerPoint templates. These templates can incorporate values from any JSON-based data within the text, including data sourced from various Salesforce objects. This versatile tool enables the generation of contracts, proposals, quotes, reports, non-disclosure agreements, service agreements, and more. Salesforce Industries Document Generation seamlessly integrates with Vlocity Insurance, Vlocity Health, communications, media, energy, utilities, government, and beyond. Vlocity Analytics, another valuable component, offers pre-built measurement tools that seamlessly integrate with Salesforce Reports, Dashboards, and Einstein. The Salesforce AppExchange boasts an extensive array of over 200 document generation tools. Your Salesforce partner can assist in selecting, installing, and implementing the most suitable options based on your business requirements. With Document Generation, you can generate contracts, proposals, quotes, reports, non-disclosure agreements, job offers, service agreements, and so on. You can generate documents using the specified sample client-side or server-side OmniScripts. You can also create your own OmniScripts by cloning and customizing the sample OmniScript to generate documents. Client-Side document generation is a synchronous process that results in a downloadable preview of the generated documents. You can generate documents from Microsoft Word (.docx), Microsoft PowerPoint (.pptx), and Web templates. These templates can include values from any JSON-based data in the text, including data from any Salesforce object. You can optionally convert the resulting documents to .pdf format. Server-Side document generation is available in both the OmniStudio Foundation and Salesforce Industries packages. Server-Side document generation is an asynchronous process that’s best for large and rendering-heavy documents and for document generation in batches. The Server-Side document generation service is secure and scalable and is hosted on Salesforce Hyperforce. The generated document is stored in your Salesforce org, and is attached to the object for which it’s generated. You can use Apex Classes, sample Integration Procedures, or a sample OmniScript to generate documents. Client-Side document generation supports Customer Community Plus, Customer Community, and Partner Community users to generate documents using client-side OmniScripts. Server-Side document generation supports Customer Community Plus, Customer Community, and Partner Community users to generate documents using the singleDocxServersideLwc server-side OmniScript. With the right licenses, Document Generation is available in the Salesforce Industries package. Metering measures resource utilization levels and throttling controls resource access and use based on defined rules. Metering measures the number of server-side documents that are generated by an org hourly and daily. The default hourly and daily limits for processing server-side document generation requests are 1,000 per org and 24,000 per org respectively. Throttling maintains consistency and resilience of the server-side document generation service by managing incoming server-side document generation requests from multiple orgs. Throttling can also prevent service degradation caused by high volume of requests at peak hours by blocking requests that exceed the default limits. The request details are saved in the Document Generation Processes entity. You can retrieve the blocked requests and later retry the server-side document generation. No matter what your specific document generation needs, Tectonic simplifies the process of getting your system up and running seamlessly, whether it’s through Salesforce Quickstarts or comprehensive implementation services. Content updated in 2022. Like1 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

Read More
July 18, 2019in Data, Hyperforce, Salesforce, Salesforce Sales Cloud, Salesforce Service Cloud
Salesforce Quickstart
06Jul

Step By Step Guide to a Salesforce Quickstart

Salesforce Implementation with a Tectonic Quickstart: Step-by-Step Salesforce Quickstart Guide. Step 1: Define Your Business Requirements Step 2: Choose the Appropriate Salesforce Products Step 3: Choose the Right Salesforce Quickstart Package Step 4: Prepare Your Data Step 5: Customize Your Quickstart Package Step 6: Train Your Users Step 7: Monitor and Optimize Your Processes Benefits of Salesforce Implementation with QuickStart Package Is it time for your business to get up and running on Salesforce? Contact Tectonic about our Salesforce Quickstart solutions today. Salesforce quickstarts are also known as Salesforce Implementation Solutions. Content updated April 2024. Like1 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

Read More
July 6, 2019in Data, Salesforce, Salesforce Implementation Services, Technology
AI-driven propensity scores
20May

AI-Driven Propensity Scores

AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables through machine learning, without explicit programming. This insight has gone through numerous updates as the information and use of AI-driven propensity scores evolved. In many cases, writers give a brief overview of the what of a tool. Today, we are going way beyond “what the sausage tastes like” to “how the sausage is made” Tectonic hopes you will enjoy learning how propensity models and AI driven propensity scores improve your data. Propensity Model in Artificial Intelligence: Propensity modeling generates a propensity score, representing the probability that a visitor, lead, or customer will take a specific action. For instance, a propensity model, using data science or machine learning, can help predict the likelihood of a lead converting to a customer. AI-driven propensity scores take an existing data model and improve its predictions, speed, and analysis with AI. Propensity Score in CRM: In CRM, a propensity score is the model’s probabilistic estimate of a customer performing a specific action. Grouping customers by score ranges allows for effective comparison and analysis within each bucket. Enhancing Propensity Modeling with AI: Traditional statistical propensity models might lack accuracy, but integrating machine learning technologies, as demonstrated by Alphonso, can significantly optimize ad spend and increase prediction accuracy from 8% to 80%. That’s a whopping 72% improvement. Propensity Modeling Overview: Propensity modeling involves predictive models analyzing past behaviors to forecast the future actions of a target audience. It identifies the likelihood of specific actions, aiding in personalized marketing. Role of Machine Learning in Propensity Models: Propensity models rely on machine learning algorithms, acting as binary classifiers predicting whether a certain event or behavior will occur. Logistic regression and Classification and Regression Tree Analysis are common methods for calculating propensity scores. Characteristics of Effective Propensity Models: For robust predictions, propensity models should be dynamic, scalable, and adaptive. Dynamic models adapt to trends, scalable for diverse predictions, and adaptive with regular data updates. Propensity Modeling Applications: Propensity models find applications in predicting customer behavior, such as purchasing, converting, churning, or engaging. Real-time predictions, data analysis, and AI integration contribute to successful implementations. AI-driven propensity scores are extremely useful in that they can be coupled with many other models to give additional insights to your data. Types of Propensity Score Models: Various models include propensity to purchase/convert, customer lifetime value (CLV), propensity to churn, and propensity to engage. Combining models can enhance the effectiveness of marketing campaigns. When to Use Propensity Scores: Propensity scores are beneficial when random assignment of treatments is impractical. They help estimate treatment effects in observational studies, providing an alternative to traditional model-building methods. Limitations of Propensity Score Methods: While propensity scores help achieve exchangeability between exposed and unexposed groups, they do not claim to eliminate confounding due to unmeasured covariates. Findings from observational studies must be interpreted cautiously due to potential residual confounding. Content updated October 2021. Content updated February 2024. Like3 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

Read More
May 20, 2019in Artificial Intelligence, Data, Salesforce, Salesforce Einstein
Salesforce
24Apr

Salesforce Objects and Fields

Salesforce objects and fields are analogous to database tables and the table columns. Objects and fields structure your data. For example, the central object in the Salesforce data model represents accounts—companies and organizations involved with your business, such as customers, partners, and competitors. The term “record” describes a particular occurrence of an object (such as a specific account like “IBM” or “United Airlines” that is represented by an Account object). A record is analogous to a row in a database table. Objects already created for you by Salesforce are called standard objects. Objects that you create in your organization with the user interface or with the Metadata API are called custom objects. Objects you create that map to data stored outside your organization are called external objects. While this insight describes all of the objects available in the API, your applications work with only the objects that you are authorized to access. Programmatic access to objects is determined by the objects defined in your organization, your organization configuration, your user permissions and access settings (which are configured by your organization’s Salesforce admin), your data sharing model, and other factors related specifically to the object. Most of the objects accessible through the API are read-write objects. However, there are a few objects that are read-only. This fact is noted in the description for the object. For details about the data types and size restrictions for each object’s fields, see the Salesforce Field Reference Guide. Resources: 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

Read More
April 24, 2019in Data, Enterprise, Salesforce
Salesforce XML
26Mar

XML-Based Messaging Protocol

The primary focus of the XML based messaging Protocol Working Group is to establish a framework for XML-based messaging systems. This framework encompasses the specification of a message envelope format and a method for data serialization. While the emphasis is on RPC applications, the framework adheres to the specified principles, catering not exclusively but primarily to RPC applications. XML messaging represents a rapidly growing, dynamic area of IT, a situation that makes it exciting and tiresome at the same time. As B2B exchanges and other forms of inter-business electronic communication grow, XML messaging will be more widely deployed than ever. Dirk Reinshagen, Javaworld What are XML messages? XML Messaging format is designed to facilitate the exchange of structured information in the implementation of Web Services within computer networks. An XML interface serves as the foundational layer of a web services protocol stack, providing a fundamental messaging framework upon which web services can be constructed. How can XML text messages be read? XML files are encoded in plaintext, allowing them to be easily opened and read in any text editor. To do so, right-click the XML file and select “Open With.” A list of programs to open the file will appear, and you can choose “Notepad” (Windows) or “TextEdit” (Mac) for clear readability. SOAP API (Simple Object Access Protocol) is a protocol used for accessing web services in Salesforce. It enables developers to interact with the Salesforce platform using a standardized messaging format and receive data in the form of XML. is 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

Read More
March 26, 2019in Data, Salesforce

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com