In 2023, approximately ** percent of Salesforce customer relationship management (CRM) software customers are located in the United States. Some well-known Salesforce CRM customers include Walmart Inc., UnitedHealth Group Incorporated, and McKesson Corporation. Salesforce's main services are tools for task and issue management, which also include customer tracking abilities.

CRM or Customer Relationship Management is a system that allows businesses to manage contacts, collaborate effectively, increase productivity & grow your business. Traditionally Customer Relationship Management has been a sales tool but now CRM systems, like Salesforce, allow people to do more.

In 2023, Salesforce's customer relationship management (CRM) is segmented ******* among diverse professional service industries. These sectors encompass manufacturing, banking, and financial services. The Salesforce CRM product is composed of different cloud services that help customers manage contact information and support sales, marketing, and customer support.

Salesforce, Inc. provides customer relationship management technology that brings companies and customers together worldwide. Its Customer 360 platform empowers its customers to work together to deliver connected experiences for their customers. The company's service offerings include Sales to store data, monitor leads and progress, forecast opportunities, gain insights through analytics and relationship intelligence, and deliver quotes, contracts, and invoices; and Service that enables companies to deliver trusted and highly personalized customer service and support at scale. Its service offerings also comprise flexible platform that enables companies of various sizes, locations, and industries to build business apps to bring them closer to their customers with drag-and-drop tools; online learning platform that allows anyone to learn in-demand Salesforce skills; and Slack, a system of engagement. In addition, the company's service offerings include Marketing offering that enables companies to plan, personalize, and optimize one-to-one customer marketing journeys; and Commerce offering, which empowers brands to unify the customer experience across mobile, web, social, and store commerce points. Further, its service offerings comprise Tableau, an end-to-end analytics solution serving various enterprise use cases; and MuleSoft, an integration offering that allows its customers to unlock data across their enterprise. The company provides its service offering for customers in financial services, healthcare and life sciences, manufacturing, and other industries. It also offers professional services; and in-person and online courses to certify its customers and partners on architecting, administering, deploying, and developing its service offerings. The company provides its services through direct sales; and consulting firms, systems integrators, and other partners. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

The statistic shows the number of high-tier customers Salesforce.com has at various tiers of annual revenue, in the fiscal year 2014 and 2018. In the second quarter of the 2018 fiscal year, Salesforce.com had about ***** customers who pay more than *********** U.S. dollars a year for its services.

LOTSA Data

The Large-scale Open Time Series Archive (LOTSA) is a collection of open time series datasets for time series forecasting. It was collected for the purpose of pre-training Large Time Series Models. See the paper and codebase for more information.

  Citation

If you're using LOTSA data in your research or applications, please cite it using this BibTeX: BibTeX: @article{woo2024unified, title={Unified Training of Universal Time Series Forecasting… See the full description on the dataset page: https://huggingface.co/datasets/anchovy/salesforce-lotsa_data.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Salesforce's Revenue Growth Stalls as Businesses Tighten Their Belts

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Salesforce CRM document generation software was valued at USD 850 million in 2022 and will reach USD 1.95 billion by 2030, registering a CAGR of 11% for the forecast period 2023-2030. Factors Affecting Salesforce CRM Document Generation Software Market Growth

Technological advancement in salesforce CRM document generation software

The market may explore new dynamics and improve company documentation experiences by integrating cutting-edge technologies like artificial intelligence, predictive learning, and machine learning with Salesforce CRM document-generating software. According to a global survey, the market for salesforce CRM document creation software is propelled by a high rate of return on investment (ROI), lower prices, a rise in the use of web-based documents, and simple installation procedures. Businesses are also implementing Salesforce CRM document-generating tools in an effort to increase productivity and operational effectiveness. With these platforms, anyone can easily create, modify, and print specific documents to meet all their documentation needs. However, it's crucial for organizations to prioritize the protection of these documents, especially since they may contain sensitive consumer information. Fortunately, the CRM document creation software has robust security measures in place that make it challenging for unauthorized access. Additionally, different customer authorities have established compliance requirements for data safety regulations to ensure optimal protection of consumer data. All these factors are boosting the growth of the salesforce CRM document generation software market.

Increased focus on customer experience, data, and automation

With Salesforce CRM document generation, businesses can create customized documents tailored to their customer's specific needs. This improves the customer experience by providing relevant and helpful information. Additionally, the software enables businesses to collect and analyze data more effectively, leading to better decision-making regarding sales and marketing strategies. Furthermore, salesforce CRM document generation automates the document creation process, saving businesses valuable time and resources.

The Restraining Factor of Salesforce CRM Document Generation Software:

Data security and privacy concerns

The market for Salesforce CRM Document Generation Software is experiencing rapid growth, but it faces some significant obstacles that are impeding its progress. The primary restraints include concerns regarding data security and privacy, a lack of awareness among small and medium-sized enterprises, and high initial investment costs. Additionally, ensuring the quality of documents generated by the software is a major challenge.

Impact of the COVID-19 Pandemic on the Salesforce CRM Document Generation Software Market

The COVID-19 pandemic has caused significant disruption across several global markets due to restrictions on logistics and market limitations imposed by governments. However, a few markets have benefited from the pandemic's effects. The need for real-time online documentation of transactions has led to increased demand for customer data retention. The pandemic has resulted in the closure of manufacturing facilities and limited logistical operations, putting a strain on several sectors. As a result, there has been a growing demand for improved customer experience due to remote employment. Companies can use Salesforce CRM document-generating software to document client information and sales. Introduction of Salesforce CRM Document Generation Software

Many companies are switching from using Excel spreadsheets to using Customer Relationship Management (CRM) software to improve their customers' experiences. This change is happening thanks to the advancement of technology and the widespread availability of high-speed internet. As businesses become more complex, they are looking for ways to simplify their operations while still being efficient and cost-effective. One solution that has become increasingly popular is using Salesforce CRM document generation software to securely and reliably document large amounts of data. Many companies are embracing new technologies and experimenting with different components of their business, such as sales, HR, business intelligence, and operations, to find ways to function with limited resources. The company has impo...

It is estimated that the annual earnings per share of CRM software provider Salesforce will reach 1.58 U.S. dollars in 2023. This is slightly lower than their estimated earnings per share for 2022. Salesforce is one of the largest providers of cloud-based customer relationship management (CRM) systems, which are used by organizations to manage their customer data.

Trust but Verify: Programmatic VLM Evaluation in the Wild

  Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu

Explorer | Paper | Quickstart Vision-Language Models (VLMs) often generate plausible but incorrect responses to visual queries. However, reliably quantifying the effect of such hallucinations in free-form responses to open-ended queries is challenging as it requires visually verifying each claim within the response. We propose Programmatic VLM… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/PROVE.

Factori houses an extensive dataset of US Person data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US Person Data section is dedicated to helping you understand the breadth and depth of the information available through our API.

Data Collection and Aggregation Our Person data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.

Here are some of the data categories and attributes we offer within US Person Graph: - Geography: City, State, ZIP, County, CBSA, Census Tract, etc. - Demographics: Gender, Age Group, Marital Status, Language, etc. - Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc. - Persona: Consumer type, Communication preferences, Family type, etc. - Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc. - Household: Number of Children, Number of Adults, IP Address, etc. - Behaviors: Brand Affinity, App Usage, Web Browsing, etc. - Firmographics: Industry, Company, Occupation, Revenue, etc. - Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.

Here's the data schema: Person_id first_name last_name gender age year month day full_address city state zipcode zip4 delivery_point_bar_code carrier_route walk_sequence_code fips_state_code fips_county_code country_name latitude longtitude address_type metropolitan_statistical_area core_based_statistical_area census_tract census_block
census_block_group primary_address pre_address street post_address address_suffix address_secondline address_abrev
census_median_home_value home_market_value property_build_year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type household_id census_median_household_income
household_size occupation_home_office
dwell_type household_income marital_status length_of_residence number_of_kids pre_school_kids single_parent working_women_in_house_hold homeowner children
adults generations net_worth education_level education_history occupation occuptation_business_owner credit_lines credit_card_user newly_issued_credit_card_user credit_range_new credit_cards loan_to_value and alot more...

Salesforce AppExchange Tools Market Outlook

The global Salesforce AppExchange Tools market size was valued at USD 6.2 billion in 2023 and is expected to reach USD 15.4 billion by 2032, growing at a CAGR of 10.8% during the forecast period. This robust growth can be attributed to the increasing adoption of Salesforce CRM solutions by enterprises globally, the growing demand for customized business solutions, and the proliferation of cloud computing technologies.

One of the primary growth factors in the Salesforce AppExchange Tools market is the increasing need for businesses to streamline their operations and enhance customer relationships. As companies strive to maintain a competitive edge, they are increasingly turning to digital transformation initiatives. Salesforce AppExchange provides a platform where businesses can find a myriad of tools tailored to meet specific business requirements. This reduces time to market and enhances operational efficiencies, which in turn drives the demand for these tools.

The rise in remote working and the subsequent need for collaborative tools have also contributed significantly to this market's growth. With the shift towards remote and hybrid work models becoming a permanent fixture in many organizations, there is a pressing need for tools that facilitate seamless collaboration and communication among teams. Salesforce AppExchange offers a wide range of such tools, including project management and communication apps, which are witnessing high adoption rates.

Furthermore, the increasing integration of artificial intelligence (AI) and machine learning (ML) capabilities in Salesforce AppExchange Tools is another driver of market growth. These advanced technologies enable businesses to gain deeper insights from their data, automate repetitive tasks, and provide more personalized customer interactions. The growing focus on data-driven decision-making is encouraging more enterprises to adopt AI and ML-integrated tools from the AppExchange, thereby fueling market expansion.

The integration of a Data Exchange Tool within the Salesforce AppExchange ecosystem is becoming increasingly vital for businesses aiming to enhance their data management capabilities. These tools facilitate seamless data transfer between various systems and applications, ensuring that businesses can maintain data integrity and consistency across their operations. By enabling real-time data synchronization, Data Exchange Tools help organizations make informed decisions quickly, thereby improving operational efficiency and customer satisfaction. As the volume of data continues to grow, the demand for robust data exchange solutions is expected to rise, making them a critical component of the Salesforce AppExchange Tools market.

Regionally, North America holds the largest share of the Salesforce AppExchange Tools market, driven by high digital adoption rates and a strong presence of Salesforce users. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, driven by increasing investments in cloud technologies, rapid digital transformation of enterprises, and the expansion of regional business ecosystems.

Tool Type Analysis

The Salesforce AppExchange Tools market is segmented by tool type into sales tools, marketing tools, customer service tools, IT & administration tools, collaboration tools, and others. Sales tools constitute a significant portion of the market due to the primary focus of Salesforce CRM on sales and customer relationship management. These tools help sales teams in lead generation, opportunity management, sales forecasting, and performance analytics, thereby driving their demand.

Marketing tools are also gaining traction, primarily due to the increasing need for businesses to manage multi-channel marketing campaigns effectively. Salesforce Marketing Cloud, integrated with marketing tools from the AppExchange, allows businesses to personalize customer experiences, track campaign performance, and optimize marketing efforts in real-time. The integration capabilities of these tools with existing business systems further enhance their value proposition.

Customer service tools are seeing increased adoption as businesses recognize the importance of delivering superior customer support. Tools such as chatbots, helpdesk software, and customer feedback systems help businesses manage customer queries efficient

The Salesforce AppExchange Tools market has emerged as a vital component within the ever-evolving landscape of customer relationship management (CRM). As organizations increasingly seek to enhance their Salesforce experience, the AppExchange serves as a dynamic marketplace offering a plethora of solutions tailored t

The Salesforce Services market has become a pivotal segment in the evolving landscape of customer relationship management (CRM) and enterprise solutions. As businesses increasingly recognize the need to streamline operations, enhance customer engagement, and derive actionable insights from data, Salesforce's suite o

It is estimated that the earnings before interest, tax, depreciation and amortization (EBITDA) of CRM software provider Salesforce will reach **** billion U.S. dollars in 2022. This is around **** billion U.S. dollars higher than the forecast EBITDA for 2021. Salesforce is one of the largest providers of cloud-based customer relationship management (CRM) systems, which are used by organizations to manage their customer data.

The Salesforce Analytics Cloud Consulting Services market is experiencing robust growth, driven by the increasing adoption of cloud-based analytics solutions and the rising demand for data-driven decision-making across various industries. While the provided data lacks specific market size and CAGR figures, based on industry reports and similar SaaS market trends, we can reasonably estimate the 2025 market size to be approximately $2.5 billion USD. Considering the rapid technological advancements and increasing reliance on data analytics, a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033 appears plausible. This signifies a substantial expansion of the market, reaching an estimated size of over $8 billion by 2033. Key drivers include the need for improved business intelligence, enhanced customer relationship management (CRM) capabilities, and the ability to derive actionable insights from large datasets. The market is segmented based on various factors such as deployment model (cloud, on-premise), organization size (small, medium, large enterprises), and industry vertical (healthcare, finance, retail, etc.). The competitive landscape is fragmented, with numerous established players like Salesforce, IBM, and Accenture alongside specialized consulting firms like Coastal Cloud, Algoworks, and others competing for market share. Future trends include the growing adoption of AI and machine learning within Salesforce Analytics Cloud, an increasing focus on data security and compliance, and the development of specialized consulting services catering to specific industry needs. Despite this positive outlook, constraints like the high initial investment cost of implementing Salesforce Analytics Cloud and the need for skilled professionals can pose challenges to market growth. The strong growth trajectory is expected to continue throughout the forecast period, largely driven by the expanding adoption of cloud technologies and the escalating demand for sophisticated analytical capabilities. The rising complexity of business data and the need for real-time insights across all sectors are key factors fueling the expansion. Furthermore, the increasing availability of integrated solutions combining Salesforce Analytics Cloud with other CRM functionalities is likely to accelerate market penetration. The strategic partnerships between Salesforce and consulting firms further contribute to the market's growth. However, potential challenges remain, including the evolving regulatory landscape surrounding data privacy and the ongoing competition among consulting firms. Successful players in this market will need to demonstrate expertise in implementing and customizing Salesforce Analytics Cloud, offering robust data security protocols, and providing comprehensive training and support to their clients.

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

ProVision is an extendable data generation engine which produces instruction data for large multimodal language models (MLMs). In particular, it synthesizes instruction data via data generators (Python programs) and scene graphs rather than proprietary models. It also includes a scene graph generation pipeline consisting of various state-of-the-art models (eg, object detection model). Thus… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/ProVision-10M.

urm3l/SalesforceTraining dataset hosted on Hugging Face and contributed by the HF Datasets community

GIFT-Eval

We present GIFT-Eval, a benchmark designed to advance zero-shot time series forecasting by facilitating evaluation across diverse datasets. GIFT-Eval includes 23 datasets covering 144,000 time series and 177 million data points, with data spanning seven domains, 10 frequencies, and a range of forecast lengths. This benchmark aims to set a new standard, guiding future innovations in time series foundation models. To facilitate the effective pretraining and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/GiftEval.