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Businesses depend on Salesforce data to understand whether planned processes are working, how sales cycles progress, and check customer engagement evolving over time. This visibility is only possible with the ability to automate data extraction from Salesforce, especially reporting, analytics, and system integrations to become more frequent. Traditional methods such as manual exports or static reports are time-sensitive and increasingly insufficient when datasets grow larger or when data needs to move across teams and platforms without delay. This is where Salesforce data automation comes into picture, especially when businesses use Python for Salesforce REST API integration. It allows teams to extract Salesforce data programmatically, control how data is accessed, and manage scale without relying on manual intervention. With a well-designed Python script for Salesforce data, you can support secure Salesforce data extraction while feeding analytics pipelines or downstream systems consistently. In this blog, we discuss the major steps to follow to automate Salesforce data extraction using Python. Additionally, we’ll explore common mistakes to avoid so that you get a successful, reliable, and secure data extraction process. Python vs Common Extraction Approaches Approach What You Can Control Where It Falls Short Manual CSV Exports Almost none beyond filters No automation, high error risk, unusable for pipelines Salesforce Reports Basic fields and schedules Limited joins, rigid formats, not API-ready ETL Tools Predefined connectors and mappings Costly, opaque logic, limited SOQL flexibility Python + Salesforce APIs API choice, SOQL logic, pagination, retries, storage, scheduling, security Requires engineering discipline and ownership Why Should You Use Python for Salesforce Data Extraction Use Python for Salesforce data extraction because it’s versatile and beginner-friendly is one of the many reasons 48.24% of developers use it. There are other factors you should be using it to automate data extraction from Salesforce using Python, these are: Flexibility with APIs: It allows easy interaction with Salesforce APIs, which lets you retrieve specifically the data you require without being bound to inflexible software. Automation at Scale: Python scripts can be automated, reducing time than manually running them and ensuring consistency across extraction tasks or reports that recur frequently. Seamless Data Handling: It has libraries such as Pandas and NumPy that make Salesforce data easier to clean, transform and structure, so it can be displayed in dashboards, analyzed or fed downstream. Integration Abilities: It connects Salesforce to other systems (databases, analytics systems or cloud applications) to establish end-to-end workflows that power business decisions without manual exports. How to Automate Data Extraction from Salesforce Using Python: 7 Steps to Know Step 1: Choose Right API API selection is crucial because it streamlines the process, but it’s rarely seen as a design decision. For small, frequent data pulls where urgency matters, using the Salesforce REST API with Python usually works without much friction. Once extraction starts covering historical records, backups, or multi-object datasets, that same approach begins to strain. Using Bulk API can handle scale; however, if you skip the choice, it will lead to rework in data automation efforts and broader Salesforce implementation roadmap. Step 2: Set Up Reliable Authentication Authentication is not a setup task; it’s more like an infrastructure that secures access. So, make the proper choice: OAuth works well when a user context is necessary, while JWT-based authentication is better suited for background jobs and scheduled processes. In addition, for secure Salesforce data extraction, permissions should be narrowly scoped, credentials securely outside your code, and access should be easy to update. When authentication is handled carefully, it rarely needs ongoing attention and helps you avoid costly corrections. Step 3: Create Maintainable Environment Most Python scripts for Salesforce data fail over time because the environment they depend on slowly changes over time. To reduce the risk, ensure you have an environment with only essential libraries. Focusing on dependency versions and documenting the setup may feel extra work initially. It pays off when the same Python script for Salesforce data needs to run across environments or be maintained by someone new. What brings stability and a smooth process is your discipline rather than tools. Step 4: Refine SOQL Performance Salesforce queries (SOQL) are often written but never revisited, but as data increases, it may render it unreliable or slow. The queries that are useful with smaller datasets may fail to scale with the increase of the objects, relationships, or fields. To have an efficient extraction effort, test queries directly within Salesforce and review them periodically. SOQL quality determines extraction performance more than the Python layer or API settings. Step 5: Plan Extraction Logic for Resilience A perfect data pull is a rare occurrence because network drops, partial responses, and long-running jobs stopping midstream are normal, not exceptional. Therefore, it’s a must that Python-based Salesforce data automation accounts for pagination, log progress clearly, and resume without duplicating records. When you assume smooth execution, it tends to fail quietly once scheduling and scale enter the picture. Step 6: Design Storage for Reuse The way you have saved extracted data impacts every future use case. For instance, flat files may be sufficient for one-off analysis, but structured storage makes more sense for recurring analysis or pipelines. The format itself matters less than consistency, especially when extracted data is structured predictably and remains usable after the initial Salesforce REST API Python integration has done its job. Additionally, with structured storage you can support downstream analytics and boost Salesforce AI consulting benefits when intelligent models are applied to extracted data. Step 7: Automate with Transparency To automate data extraction from Salesforce with Python is easy, knowing when they may fail is harder. Use ‘schedulers’ that can log and give you notifications so that you can identify problems prior to their impact reporting or integrations. The absence of clarity in the process causes gaps in the visibility that are only evident when the stakeholders notice data is missing. But adding monitoring or notifications to dashboards will make sure that you are not blindly following the process and with time you could see the difference in whether a process scales safely or builds mistrust by masking failures. Common Mistakes in Salesforce Data Extraction Using Python and How to Avoid Them Following are the common mistakes and how to avoid for an efficient data extraction process: Mistake 1: Ignoring API Limits API limits are rarely breached in a drastic moment; they happen gradually through inefficient queries, frequent polling, and retries that no one tracks. But it can be avoided by monitoring usage trends and tightening how you extract Salesforce data programmatically helps prevent limits from becoming operational constraints later. Once limits are hit consistently, fixes tend to be reactive rather than planned. Mistake 2: Scaling SOQL Poorly SOQL written for convenience often struggles as data grows, with queries that pull too many fields or rely heavily on relationships may pass initial tests but degrade over time. Revisiting SOQL with scale in mind is essential for long-term Salesforce REST API Python workflows, since most performance issues come from query design and not platform instability. Mistake 3: Treating Errors as Edge Cases The failures in extraction logic often present themselves as missing or incomplete data rather than evident warnings. Such uncertainty is more harmful to the process than a failure because it erodes trust in reports or analysis. Thus, unless errors are managed in an orderly manner, capture meaningful logs, and have retrieval controlled, the problems go unnoticed until the stakeholders discover gaps in the system, leading to costly and time-taking recovery. Mistake 4: Handling Credentials Carelessly Credential settings are usually maintained and forgotten until something goes wrong. Also, hardcoding secrets or sharing tokens across environments leads to security risk and operational friction. So, manage credentials properly for a secure Salesforce data extraction, especially when scripts run unattended and are the component of larger data processes. Mistake 5: Overlooking Data Quality To fasten the process, automation means focusing only on speed while overlooking accuracy. This means that inconsistent fields, outdated records, or incomplete datasets are ignored when scripts don’t validate results. You must follow Salesforce data migration best practices and proper quality checks for extracted data to understand that it can have flawed analysis, eroding trust in reporting, and downstream workflows. Wrapping it Up We’ve seen how Python can simplify Salesforce data extraction, enabling faster reporting, smoother integrations, and reduced manual effort. In this blog, we shared practical steps to help you have a successful process to automate data extraction from Salesforce using Python. In addition, we also highlighted common mistakes and how to avoid them for an efficient automation and resilient process for accurate and reliable data pipelines. If you don’t want to overburden your team and want an effective process, we recommend you seek a reliable Salesforce consulting partner. The certified Salesforce experts combine Salesforce knowledge with Python-driven workflows to help your organization design and implement automation strategies tailored to your needs and get the boost your Salesforce AI ROI like never before.

Just when we got familiar with Agentforce, Salesforce introduced its upgraded version Agentforce 2.0. “What exactly is this, and what new it brings to the table?” People are buzzing with these questions. If you’re wondering the same, this post is exactly what you need. With insights from Salesforce implementation partners, we’ll clear up all your doubts and provide a detailed breakdown of everything you need to know. So, just stick to this guide and keep exploring how this transformative advancement drives your business ahead. What is Agentforce 2.0? Explained by Salesforce Implementation Partner To understand what’s new in Agentforce 2.0, we must first comprehend what Agentforce is. Agentforce is an AI-powered solution that automates tasks within the Salesforce ecosystem. It includes a copilot for generating responses, providing summaries, and actively participating in workflows by executing commands and updating records in Slack. Additionally, it integrates with ERP and eCommerce platforms, acting as an AI workforce to handle data-intensive and repetitive tasks. Now, if we talk about Agentforce 2.0, it refers to the new set of releases, workflow integrations and pre-built skills. Moreover, the platform offers the ability to deploy Agentforce in Slack and upgrade it in Atlas reasoning engine. According to Salesforce, Agentforce 2.0 resolves the bottlenecks related to time and integration. Thus, making it super easy for the users to create and deploy custom AI agents that support business specific needs. Besides, the platform offers a new library of pre-configured skills and tasks ready to work across CRM, Tableau, Slack, and actions developed by partners on AppExchange. Moreover, the update seamlessly integrates with any workflow through MuleSoft. Additionally, advanced agent builders interpret natural language commands like “Onboard New Product Managers,” thus creating such agents that combine pre-made skills with custom logic built in Salesforce for unmatched flexibility. Key Enhancements in Agentforce 2.0- Explained! Everything we stated above is just a brief of the magnificent- Agentforce 2.0. Here is a detailed explanation of what it includes. AI-Driven Skills for Elevated CRM Experiences Skills like sales coaching and sales development added for the sales team lead to the seamless creation of autonomous AI agents. These agents nurture leads based on rules of engagement. Thus, joining prospect calls and providing real-time feedback on prospect interactions with customers. Additionally, new skills added for commerce merchant, marketing campaigns, and service engagements bring businesses with all the support they require inside their CRMs. Multi-System Integration with MuleSoft Now, all thanks to the updates happened in Agentforce, businesses can redefine the way they work. They can leverage MuleSoft for Flow, thus allowing users to craft low-code workflows. Moreover, the new updates bring pre-built connectors to integrate and deploy multi-system workflows. This MuleSoft API Catalog provides a unified view of APIs across multiple systems like Heroku, MuleSoft, and Salesforce. Thus, making API management and its usage effortless. What’s more? Team members can also embed Agentforce metadata into APIs for actionable agent- first skills. Slack Transformation with New Skills With the introduction of new and dynamic Slack capabilities, AI agents can directly interact within Slack channels. This enables AI agents to send real-time messages about updating Slack Canvases, tracking progress on specific tasks and summarizing project updates as per the customer requests. This level of automation significantly enhances the Agentforce’s capabilities and makes collaboration within the team more efficient and intuitive. On top of that, these new skills reduce the need for fragmented communication channels and ensure that everyone is on the same page. Smarter Agent Creation Do you know what you can easily say goodbye to manual configuration and create agents in just a matter of seconds? Wondering How? Smarter Agent Creation leverages the power of Agentforce to create new agents. It extracts data from the library of available skills and actions, making the team efficient enough to build and deploy new digital labor solutions in seconds. Guess what? It leads to enhanced operational efficiency and accelerated time-to-value. Consider having Salesforce consulting services to deploy these smarter agents for your workflow. Analytics with Tableau New Tableau topics and actions allow users to gain deeper insights into business operations, team performance, and project progress. Through the advanced data visualization capabilities, it easily analyzes complex data and generates actionable insights. The tool transforms agent interactions into actionable data predictions and visualization, providing context-aware answers with Tableau Semantics. With democratized access to data, organizations can enable conversational analytics use cases. Thus, making data-driven decisions at every level. Expanding Functionality Through AppExchange Specifically, for Agentforce, Salesforce brought the first-ever enterprise ecosystem of agent skill. That means, users now can easily extend their Agentforce with custom Actions and Topics ranging from new agent types like Service Agent with Workday, to new, partner-built actions from Docusign, Neuron 7, and Asymbl. While making the most of Salesforce Agentforce services, you can easily expand functionality via AppExchange. Upgraded Atlas Reasoning Engine Among various surprises that Salesforce brings to us within Agentforce, “upgraded Atlas Reasoning Engine” captures the most attention. It manages a wider variety of interactions, along with multiple layers that need deeper thought. For instance, a question like “What is the status of my portfolio?” require a basic understanding for rapid responses. Meanwhile, a question framed like “Which investment options should I consider for funding my child’s education while considering my income and expected inflation?” is more complex. To improve its answer and respond accurately, the upgraded Atlas Reasoning Engine utilizes advanced data retrievers. Why Agentforce 2.0 Matters for Your Business In this time and age, every business wants to achieve more—however, with less time, fewer resources, and decreased complexity. That's where Agentforce 2.0 powered by Salesforce appears and turns this dream of several businesses into fruitful opportunities. Here is how it eliminates challenges, fosters personalized experiences, and lets businesses experience other benefits like: Seamless Integration Across Systems Siloed workforce requires juggling multiple systems and platforms to conduct one task. This not just slows down operations, but also wastes team members’ time, energy, and efforts. But do you know what? Agentforce 2.0’s MuleSoft integration breaks down these silos, allowing agents to work across Tableau, Slack, custom APIs, and CRM. Furthermore, you can deploy agents to do everything no matter if it’s about automating sales tasks and generating real-time project updates. Faster Time-to-Value In the previous Agentforce version, traditional agent development proves to be slow and resource intensive process. Developed cycles were prolonged due to the need for extensive integration, often delaying time-to-value. However, Agentforce 2.0’s pre-built skills and enhanced Agent Builder enables teams to deploy tailored digital agents based on workflows in a few minutes, not months. This lets team members focus more on getting results than on creating infrastructure. Scalable AI Support Accommodating needs is what the business truly does after scaling to a certain height. However, due to resource constraints, increased complexity, and evolving market demands, businesses struggle with maintaining the same level of personalized service. That’s where Agentforce 2.0’s library of partner skills and flexible customization options appear, ensuring agents can scale alongside you. Thus, conducting complex tasks with ease and providing value at every step. Adapt for Tomorrow Agentforce 2.0 ensures your business remains agile and competitive in a rapidly evolving market while providing the flexibility to integrate with different systems and adapt to new workflows. Moreover, the platform seamlessly connects with existing tools and platforms, allowing for real-time adjustment and letting team members stay ahead of market trends and respond to customer needs efficiently. This not just improves productivity but also drives innovation. Cost-Effective Workforce Expansion Recruiting and training employees for new tasks can be costly and time-consuming, but with Agentforce 2.0, you can efficiently manage these processes with minimal investment. The updated version lets businesses easily expand their digital workforce. This not only cuts overhead costs but also enhances productivity, upholds high-quality standards, and ensures consistent performance. Smarter Insights It’s all because of scattered and fragmented data that various businesses bear the consequences of poor decision making. However, with the upgraded Atlas Reasoning Engine and Tableau integration, you can let digital agents retrieve and contextualize data. This helps in delivering such intelligent insights that allow teams to take each step with confidence. When was Agentforce 2.0 Updates Released? The full release of Agentforce 2.0 was made available in February 2025. Discover here the detailed timeline of the releases: Skills for Tableau was accessible on December 18, 2024. Agentforce in Slack and other Slack functions was launched in January 2025. Meanwhile, natural language creation of agents in Agent Builder was rolled out in January 2025. Also, MuleSoft for Flow, MuleSoft API Catalog, and Topic Center are unveiled in February 2025. Last but not least, enhanced reasoning in Atlas Reasoning Engine and RAG was available in February 2025. Agentforce 2.0: What the Future Offers? Well, the journey of autonomous and efficient workflow does not just end with Agentforce 2.0 but moves to other heights with the next wave of advancements that will redefine AI agents. Here is what you might witness next. Multimodal Interactions- Imagine outdated IVR systems get replaced with generative AI-powered voice support. Well, Agentforce can bring a game-changing ability for voice and vision communication. It may enable product searches and troubleshooting via vision and voice-based AI, thus providing more natural interactions to all sectors. Support for Multi-Intent Conversations- Agentforce may also replicate human-like conversation abilities for customers who often ask multiple requests in a straightforward manner. For example, Agentforce can easily handle requests like 'Give me an update on my order' or 'Find me a grey pant in size M'. Moreover, it makes the most out of advanced natural language comprehension and context processing to respond to multi-intent queries instantly. Enhanced Industry-Specific Use Cases- The future may see tailored Agentforce specifically built for sectors like healthcare, retail, manufacturing, and more. For instance, AI agents for healthcare can automate insurance claims processing. Meanwhile, AI agents for retail could level up the game of inventory management and personalized loyalty programs. Such a level of customization enables businesses to cater to their unique needs and requirements. Multi-Agent Collaboration- Digital agents, while collaborating with one another can easily manage complex workflows exponentially. This helps businesses with automating repetitive tasks and streamlining handoffs. Moreover, this also empowers your team to put their focus more on higher-value activities for better productivity and efficiency. In a Nutshell! With this guide, you would essentially know that Agentforce 2.0 brings the best for businesses that look for transformative force to operate, scale, and engage with customers. You can easily extend your business workflow, streamline team productivity, and boost revenue with Agentforce 2.0 in place.  However, to adopt cutting edge technology like Agentforce, you require strategic preparation. It's the only way you can easily unlock your business transformation. So, book a consultation with Girikon, the best Salesforce consultants and start your journey toward a smarter business.

IDC Whitepaper Salesforce.com is #1 in Fortune’s list of ‘100 best companies to work for’. New customers are signing contracts for Salesforce licenses every day, and this indicates the popularity of Salesforce CRM worldwide.  Salesforce CEO Benioff once said, “Salesforce reached $5 billion in annual revenue faster than any other enterprise software company and now it’s our goal to be the fastest to reach $10 billion.” Currently, businesses are stepping forward to adopt the Salesforce technology with the intention of customer satisfaction as well as enhancing their current sales operations process. To implement a Salesforce solution, a company needs Salesforce geeks who helps them to achieve their business goal.  Currently, Salesforce Consultants and professionals are in huge demand due to Salesforce being adopted by small to large business organizations worldwide at rapid rate. The market has a demand for Salesforce Administrators and Salesforce Developers. To implement Salesforce as a CRM solution, there are various roles required to fulfill the business need such as Administrator, Developer, and Salesforce Architects. A recent research by G2 Crowd found that:    Customers are crediting Salesforce when it comes to overall CRM functionality 85% higher than the industry average of 75%. The Salesforce CRM has an 80% better scalability than any other CRM vendor outside the leader category in Gartner’s quadrant and 23% better scalability than vendors present in the leader’s category. It is always believed that referred customers are always a bonus for any business. More than 80% Salesforce customer has recommended Salesforce as CRM solution to their peers.   85% of Salesforce users believe that Salesforce is headed in the right direction.    Do your dreams include succeeding in Salesforce? Salesforce is aggressively acquiring companies (small to mid-size) across the world, that provides a competitive edge over other CRM players in current market. More than 2 million companies are using Salesforce as a CRM solution to boost their current sales process and successful customer support. Due to the high adoption rate of Salesforce demand for Salesforce professionals such as Administrators and Developers to manage the Customer’s Salesforce CRM has also increased. To achieve a business goal, Salesforce consultants assist businesses to fully exploit the full potential of Salesforce by having an in-depth knowledge and experience relating to a Salesforce implementation.  To have a career in Salesforce, Consultants need a focused effort in right direction and with level of passion and dedication. Salesforce is like an ocean and consultants do not know how far they can reach. If you are looking for a relatively high paying career, then Salesforce is the right path to proceed with the added ability for work opportunities in this field. The key is to completely understand the elements of your responsibilities and what is required for the job.  Now let’s understand the difference in terms of responsibilities and the earnings achieved by Administrator vs Developer: Key activities for Salesforce Administrators: The key areas that are being considered for Salesforce administrator are as follows:  User setup and permissions Data accessibility  Account modifications  Moreover, Salesforce Administrators are also involved in some other activities such as page layout setup, data deduplication, picklist values configuration, workflow & rule configuration, reports & dashboard creation and many more.   Key roles for Salesforce Developers: Salesforce developers create  Triggers Visual force pages as well as custom functionality to support the business processes defined by organization.  Moreover, developers are responsible to establish interface with third party applications to Salesforce through custom APIs integration to accomplish the business need.  To create a Salesforce Solution, both administrators and developers are required, and it is totally depending upon the business requirement.  Salesforce administrators and Salesforce developers are like the two sides of a coin.  Girikon a Salesforce Consulting Partner based in the USA, Australia and India and has a team of Certified Salesforce Consultants including administrators and developers. The Salesforce Consulting Services team have proven expertise with over 400 projects delivered. For further information about Girikon contact us on +61 1300 332 888 or email sales@girikon.com and discuss your current business challenge. We guarantee we will have a solution for you.

In this competitive world Attracting desired customers can be more challenging in-comparison to the actual implementation of project execution. Every organization is spending more and more money and time on campaigns. Here Google Ads is a powerful campaign tool for generating new leads and opportunities. In order to get new leads and opportunities first, we have to understand the area from where our prospects come. By connecting Google Ads to your CRM (Salesforce) you can understand which keywords and campaigns are helpful for creating new business opportunities. Steps for preparing the environment • Here we have to make some changes into our Salesforce environment and you need admin credentials for that also make sure that you have edit privileges for Organization, Lead Status, Opportunity Stage, Lead History, Lead, OpportunityFieldHistory, Opportunity fields and for creating new custom fields. • Also make sure auto-tagging is enabled in your Ads accounts. if not then Goto —> Settings–>Account Settings—>Tracking menu—>click Edit in Auto-tagging section —>Select Destination URL Auto-tagging—>click Save Changes. • In order to send lead information from your website into Salesforce lead object you should have access of salesforce’s web-to-lead feature and permission to edit your website code. Following are essentials steps for connecting Salesforce to Google Ads: Step.1 Salesforce Configuration: • We have to create a new Custom filed in Opportunity object with field name as “GCLID” (Google Click ID) also make sure that “Set History Tracking” is enabled for the “Stage” field. • Create a new filed in Lead object with same name • At the end select “Map Lead Fields,” and map the Lead.GCLID to the Opportunity.GCLID field and save this. Step.2 Salesforce Configuration: • In this step we have to use following JavaScript code in the header section of any web page that have salesforce lead forms function setCookie(name, value, days){ var date = new Date(); date.setTime(date.getTime() + (days*24*60*60*1000)); var expires = “; expires=” + date.toGMTString(); document.cookie = name + “=” + value + expires; } function getParam(p){ var match = RegExp(‘[?&]’ + p + ‘=([^&]*)’).exec(window.location.search); return match && decodeURIComponent(match[1].replace(/\+/g, ‘ ‘)); } var gclid = getParam(‘gclid’); if(gclid){ var gclsrc = getParam(‘gclsrc’); if(!gclsrc || gclsrc.indexOf(‘aw’) !== -1){ setCookie(‘gclid’, gclid, 90); } } • Login to salesforce and go to web-to-lead section and follow the process to setup form also include GCLID lead field in the form. Step 3: Configuring Your Google Ads Account • Go to—> Google Ads Account Settings—>Linked Accounts—>Go to the Salesforce section—>select View Details—>Add account—>Continue—>Enter the Salesforce account information—>Set Up Conversions. • In order to setup conversion select any boxes relating to relevant lead and opportunity that is the part of conversion. • Go to Conversion column—>chose Leads and Opportunities—>Create a Conversion—>Done • Go to —>Value,Count,Conversion Windows—>Configure this—>Create—->Pick Best Import schedule—>Save • Now your salesforce is connected to Google Ads Learn More About Salesforce Consulting Services

A lot of business users work on the Salesforce CRM. If you are a Salesforce admin then it is important to create a system which eases the process of adding leads, working on the opportunity, creating reports, etc. Small factors, proper display of primary fields which needs attention if taken care can lead to a smooth & glitch-free system.

With Shield, Salesforce looks to strengthen its promise of taking its Trust Services to the next level. Now, even industries with regulatory and compliance requirements such as Financial Services, Healthcare, and Public Sector can leverage the speed and innovation of cloud computing with the assurance of highest level of data protection, availability, and performance. The needs of specific industries can vary depending on the criticality of the data that they manage and use. While some may need to track sensitive customer being exported others might need to encrypt them or maintain an audit trail of data to safeguard data integrity. The understandably high pressure of balancing the shift to cloud platforms with meeting compliance needs has deterred several organizations from making the shift thereby being bereft from the benefits that it promises to bring along! Salesforce Shield is a premium set of integrated services built natively in the Salesforce1 Platform. With it, comes the capability to track the way in which one’s sensitive data is being used & handled. It certainly is a strong empowering tool for customers with complex governance and compliance needs to be able to track data going back up to ten years along with sensitive data encryption if they so desire. Salesforce Shield includes the following core services: Event Monitoring: This feature gives customers the transparent visibility into which users are accessing what kind of data along which the actions that they are taking on it. Field Audit Trial: Salesforce customers now have the ability to go back & check their data state up to 10 years. It provides Audit trial data for up to 60 fields per object. Platform Encryption: All sensitive data can now be easily encrypted at rest (at the metadata layer) without hampering any business functionality. Transaction Security: Users can add various processes to Event Monitoring using the transaction security feature. Specific events can be configured with Salesforce to trigger actions as required. For example: When any User tries to access the Salesforce from any unsupported browser it will not provide access. The Shield Platform works through the combination of the tenant key (available with the customer) and a master secret controlled by Salesforce to generate the org-specific data encryption key. This key is used to encrypt sensitive data stored in standard and custom fields, files, and attachments. The derived keys are never persisted to disc, ensuring maximum security for encryption keys. Setup Salesforce Shield Setup -> Security Controls -> Platform Encryption Create Tenant Secret Enable encryption for files, fields, and attachments Assign permission to generate, rotate, and archive your org’s keys If user has the permission to “View Encrypted data”, then the data gets decrypted before presenting it for user Fields with the following field types: Text, Long Text Area, Phone, Email and URL in standard or custom objects can be encrypted

Salesforce Customization & Integration Services We have certified Salesforce Administrators and Developers who help our customers to customize and build Salesforce.com Apps to meet their business requirements. Sometimes customer needs to integrate their existing ERP system with the Salesforce instance. We provide cost effective quality solution on their existing ERP system with their Salesforce instance Customization and Integration. With our experienced and certified Force.com team, save over 50% costs on Salesforce Customization and Integration services in USA & Offshore. Girikon’s wide implementation and development on Force.com experience will help you get the most out of your Salesforce system Our Approach We help our customers to setup the new Salesforce instance or customize their existing environment according to their need. We also provide them the training to use the different tools of the Salesforce.com that helps them to run their business flow easily. We help our customer to create the complex business process using the Salesforce.com workflow, approval process and triggers. Our Offerings Salesforce Integration with other apps. Data migrations from environment to another environment. Data Cleaning. Communities and Customer Portal setup and customization. Upgrading Salesforce environment. Third Party App integration with Salesforce.com like Desk.com integration, Mail Chimp integration etc. Creating complex workflows and approval process. Users and Profile Management. Providing support for Sales and Service Cloud. Why Choose Us Quality with On Time Delivery: We maintain the highest quality standards and strict guidelines. Along with highest quality we strictly follow delivery timeline and it’s always done on time. Experienced: Girikon today has over 150+ Technocrats working onsite and offshore for Fortune 1000 clients. We have delivered more than 200 Salesforce projects having over 1, 50,000 hours of Salesforce implementation, migration, customization and Force.com development experience. Cost-Effective: Our business model is to provide cost effective onsite Consulting followed by a mixed offshore and onsite solution. This model helps us in keeping customers development costs low while providing world class and quality development support. With Girikon’s unique team combination model we deliver the same productivity level with a 50-70% cost reduction. Flexible: As a flexible partner we give our clients the flexibility to choose service model from the day one of project and if needed can customize further at a future date. Our models include pure onsite, onsite/offshore, onshore/offshore and pure offshore teams. You Own the IP: You will own the source code and Intellectual Property of the work we do for you under our Agreement.