Industry forecasts predict an annual growth rate of 6% to 7%, fueled by innovations in cloud computing, artificial intelligence (AI), and data engineering. In 2023, the global data analytics market was valued at approximately $41 billion and is expected to surge to $118.5 billion by 2029, with a compound annual growth rate (CAGR) of 27.1%.
Data quality has never been more critical, and it’s only set to grow in importance with each passing year. The reason? The rise of AI—particularly generative AI. Generative AI offers transformative benefits, from vastly improved efficiency to the broader application of data in decision-making. But these advllucantages hinge on the quality of data feeding the
Salesforce Data Quality Challenges and AI Integration Salesforce is an incredibly powerful CRM tool, but like any system, it’s vulnerable to data quality issues if not properly managed. As organizations race to unlock the power of AI to improve sales and service experiences, they are finding that great AI requires great data. Let’s explore some
Companies are diving into artificial intelligence. Unlocking enterprise AI success depends on four main factors. Tectonic is here to help you address each. Trust is Important-Trust is Everything Data is everything—it’s reshaping business models and steering the world through health and economic challenges. But data alone isn’t enough; in fact, it can be worse than
70% of Sales Teams Rely on CRM Systems, but 43% Struggle with Data Management—Here’s a Solution CRM platforms like Salesforce have become indispensable tools for modern sales teams aiming to optimize workflows and gain critical insights. Despite their importance, many teams still face challenges with data management, often due to the sheer volume of data
According to Gartner®, by 2028, 75% of enterprises will view the backup of SaaS applications as a critical necessity, up from just 15% in 2024. Salesforce, a key CRM tool for many of the world’s largest organizations, plays a pivotal role in driving business operations and accelerating revenue growth. Given its central role as the
AI Strategy and Tectonic Recent advancements in artificial intelligence (AI) have showcased the immense potential of this technology to transform both business and society. However, as organizations scale AI systems, they must ensure these systems are structured and governed responsibly to prevent bias and errors. The widespread use of AI can have significant implications, and
Businesses have increasingly adopted “chatbots” to provide quick answers to customer queries outside regular business hours or to route customers to the appropriate department after answering preliminary questions. While these chatbots can be useful, they often fall short in delivering the same level of value as human interaction, sometimes leading to frustration. Today, chatbots are
Salesforce Enhances Nonprofit Cloud with Generative AI Capabilities On August 6, 2024, Salesforce Inc. announced that its Nonprofit Cloud platform is the latest in its suite to receive a boost from generative artificial intelligence (AI). This marks a significant milestone as it is the first integration of the Einstein 1 Platform within Salesforce’s Industry Cloud
Each year, Monte Carlo surveys real data professionals about the state of their data quality. This year, we turned our gaze to the shadow of AI—and the message was clear. Managing Data Quality in an AI World is getting harder. Data quality risks are evolving — and data quality management isn’t. Among the 200 data
Traction Complete Launches Revolutionary “RevOps Data Management Suite for Salesforce” In an era where artificial intelligence (AI) is revolutionizing business, Traction Complete is proud to announce the launch of “The RevOps Data Management Suite for Salesforce.” This groundbreaking suite is the first data management solution designed specifically for Revenue Operations professionals, empowering users to fully
Essential Validation Rules for Salesforce Admins In this post, five essential validation rules that Salesforce admins should implement in their clients’ Salesforce orgs are discussed. Improve the quality of your data using validation rules. Validation rules verify that the data a user enters in a record meets the standards you specify before the user can
Deep Dive Summer 24 Release Get ready, Salesforce fans! The Summer ’24 release is here, and it’s like Christmas morning for tech geeks. We’re talking about new features, enhancements, and improvements that will make you wonder how you ever lived without them. This Tectonic insight is your ultimate guide to all the exciting updates, changes,
Databricks unveiled Databricks LakeFlow last week, a new tool designed to unify all aspects of data engineering, from data ingestion and transformation to orchestration. What is Databricks LakeFlow? According to Databricks, LakeFlow simplifies the creation and operation of production-grade data pipelines, making it easier for data teams to handle complex data engineering tasks. This solution
Databricks Introduces LakeFlow: Simplifying Data Engineering Databricks, the Data and AI company, yesterday announced the launch of Databricks LakeFlow, a new solution designed to unify and simplify all aspects of data engineering, from data ingestion to transformation and orchestration. LakeFlow enables data teams to efficiently ingest data at scale from databases like MySQL, Postgres, and
