Q&A with John A. Steinert, Chief Marketing Officer at TechTarget

MEDIA 7 | October 17, 2019

John A. Steinert, Chief Marketing Officer at TechTarget helps bring the power of purchase intent-driven marketing and sales services to technology companies.

With a strong drive to help customers achieve their business objectives faster and bigger, John and his TechTarget team connects the information needs of enterprise tech buyers and the go-to-market efforts of solution providers, ensuring that everybody wins.

MEDIA 7: What inspired you to get into marketing?
JOHN STEINERT: 
That’s easy. Marketing inspired me to get into marketing. I’ve always loved great communicators and the formats used in communications. As a kid during some pretty tumultuous times in American history, I was surrounded by great political, guerilla, and yes even commercial communications. Speeches, hearings, demonstrations, TV, advertisements, even album covers and t-shirts made a strong impression on me. Obviously, with the rise of the internet, long-tail video channels and social media, things have blossomed to an even more amazing level.

M7: How does TechTarget's Priority Engine™ support tech vendors to achieve their marketing and sales objectives?
JS:
 By helping companies see and interpret real buyer needs and preferences, Priority Engine first provides a relevant, permissioned basis for a marketer to intercept a buyer’s journey and then it assists users in taking very specific influencing and engagement actions. Because Priority Engine provides the actual permissioned people doing buying research, it saves tons of resource that’s commonly wasted chasing prospects who don’t have a need and leads that are actually dead ends. And because Priority Engine shares the real needs and preferences of the actual buyers with both marketing and sales when they share the platform, it enables far better conversion at every step, from funnel, to pipeline, through to renewal.


"To truly enable sellers with content, the content needs to reflect what we know about this specific buyer’s needs and preferences."

M7: What according to you is content-enabled selling and how does it help drive a buyer’s journey?
JS: There are two key pieces to content-enabled selling. The first is the content itself – what it is and how it assists the buyers in fulfilling the necessary or required steps of their buying process. The second is how we adjust our own approach in response to buyer inputs and feedback.
To truly enable sellers with content, the content needs to reflect what we know about this specific buyer’s needs and preferences. To perform better, your content needs to be more buyer-centric. This can be achieved when product marketers and sales enablement folks are consuming real purchase intent insights from Priority Engine and leveraging them into evolved content outputs.

Then there’s what I’ll call the “personalization wrapper” – how the communications that accompany the assets present and create context for that use-case relevant material. These wrapper – be they email copy, call guides, etc. must be built with an eye to the nature and the stage of the relationship at hand. Marketers and sellers alike need guidance on the proper way to do this.

It’s not as simple as “you liked this so of course you should want to buy this”. Buyers need help with both their rational business needs and their more emotional needs around both their company, their department and themselves. The “personalization wrapper” is a useful metaphor for being holistically considerate of the person and the company you are interacting with. Obviously, this is substantially more nuanced than simply recognizing what company they are from. It’s about ingesting what you can see are their expressed concerns and preferences, learning from that, and shaping your own communication in that context.

M7: What features make TechTarget's 'Data-Driven Display' drive B2B demand and accelerate sales?
JS:
 Because it’s fueled by permissioned knowledge of exactly who is performing research at any given moment, TechTarget’s data-driven display advertising can deliver higher engagement rates and higher conversion.  When used in conjunction with demand generation techniques and intelligent sales outreach, independent studies with leading 3rd parties have achieved remarkable lift across the funnel as compared to what’s available when using more generalized “intent” data.


"The biggest mistake of all that’s commonly still made in marketing is to not use prospect behavior as a critical guide."

M7: What is the biggest mistake B2B marketers make while targeting specific prospects?
JS:
There are many actions that teams continue to take because they’ve simply been tasked to take them.  There are old-school KPIs, typically focused on process outputs rather than business outcomes that perpetuate chronic under-performance. Take, for instance, a narrow focus on cost-per-lead – too often this incentivizes continued purchases of higher and higher volumes of lower and lower quality. To wean themselves off of this Catch 22, teams should work to turn their attention to down-funnel metrics like conversion-to-opportunity – measuring cost per opportunity is a much more useful predictor of pipeline yield.

But the biggest mistake of all that’s commonly still made in marketing is to not use prospect behavior as a critical guide. When marketing (and sales) energies are spread evenly over active and inactive prospects alike, energy is wasted on those who are not in-market, and that investment of time and resource is not available to increase attention on those active buying teams that should be converted. By focusing more intently on those prospects that are actually demonstrating in-market buyer’s journey behaviors, teams get far more out of their investments.

M7: How does 'Data Cleanse' assist marketers in email verification and contact record accuracy?
JS: 
Some percentage of the data coming into your database from form fills, other manual entry and so on naturally contains incompleteness, mistakes and outright falsehoods. Furthermore, people move around, both inside of companies and between them. So even once-accurate data decays amazingly fast. To counter these realities, your data practice should put into place a variety of processes that together comprise a mature “data cleanse and append” approach. In this way, you can address data quality issues at both the point of entry and over time. At TechTarget, we offer our clients cleanse and append services both directly via our Oceanos offerings and indirectly via our Priority Engine platform wherein the data goes through rigorous checks and verifications before it qualifies to be shared.


"Even once-accurate data decays amazingly fast. To counter this reality, your data practice should put into place a variety of processes that together comprise a mature “data cleanse and append” approach."

M7: When did you start working, how old were you, and what was it?
JS:
 My first stable paid position, $1.40/hr, was at age 14 pumping gas at Greene’s Exxon. I was super excited because I got to wear the striped shirt with the logo patch! I loved washing windshields and checking the oil, especially when my superior CX delivery got me a few cents in tips!


ABOUT TECHTARGET

TechTarget (Nasdaq: TTGT) is the global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget attracts and nurtures communities of technology buyers researching their companies’ information technology needs. By understanding these buyers’ content consumption behaviors, TechTarget creates the purchase intent insights that fuel efficient and effective marketing and sales activities for clients around the world.
TechTarget has offices in Boston, London, Munich, Paris, San Francisco, Singapore and Sydney. For more information, visit techtarget.com and follow us on Twitter @TechTarget.

More C-Suite on deck

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

‘Data teams are critical in defining and driving business growth metrics’ says Gaurav Rewari, CEO of Mode.

Media 7 | March 4, 2022

Gaurav Rewari, CEO of Mode elaborates on his role as a CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science. Read on to know more about his thoughts on digitization and Mode's brand-new visualization tool, Visual Explorer.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

‘Data teams are critical in defining and driving business growth metrics’ says Gaurav Rewari, CEO of Mode.

Media 7 | March 4, 2022

Gaurav Rewari, CEO of Mode elaborates on his role as a CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science. Read on to know more about his thoughts on digitization and Mode's brand-new visualization tool, Visual Explorer.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

Related News

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Fivetran Introduces Metadata API – Enables End-to-End Data Analysis and Visibility

Fivetran | September 20, 2022

Fivetran, the global leader in modern data integration, today announced the availability of Fivetran’s Metadata API to enable the tracking of data “in-flight” from source to destination as it moves through Fivetran-managed pipelines. With this additional visibility, customers can integrate with governance and observability tools to give data teams more control over who has access to what data. Enabling automated data governance, the Fivetran Metadata API also provides data stewards, security teams and data engineering teams the needed visibility to answer where the data came from, who accessed it, and what changes have occurred in the pipeline. “Every enterprise knows it must be data-driven, but traditional data governance has been a barrier with manual processes and reactive enforcement of policies. That's not a scalable approach, especially as data infrastructure grows to thousands of pipelines. “With Metadata API, our customers get out-of-the-box data governance automations and data quality workflows so they can proactively identify and take action on governance issues before they become a problem. Our automated in-flight approach enables data access at scale without increasing risk to the business.” Fraser Harris, VP of Product at Fivetran Complex legislation such as Europe’s GDPR, the California Consumer Privacy Act (CCPA), and other state laws impose fines on companies that do not comply with complex rules to safeguard data privacy. The Fivetran Metadata API helps enterprises address compliance requirements, easily integrating into their existing privacy and security strategies while bolstering the value of investments they’ve made in data catalogs and data quality solutions. With the Fivetran Metadata API: Data analysts are provided with a deep understanding of where data is coming from and are able to run impact analyses on it. Data stewards know end users have access to data that has been handled securely and is compliant with governance requirements. Security and legal teams can complete security audits and ensure the data moved is in compliance with organizational policies. Data architects and engineers will soon be able to understand upstream schema changes and ensure downstream processes are updated. Creating an automated data governance experience – Fivetran partners with leading data catalogs Fivetran is excited to launch better metadata management with four leading data catalog vendors: Atlan, data.world, Alation and Collibra. Here are the combined benefits: Information about all data can be consolidated into a single data catalog, for a complete view and seamless user experience. End-to-end data lineage graphs are available for data, despite data passing through multiple systems and tools. By centralizing governance in a single tool, data stewards can better ensure policies and processes are being applied to data as necessary. The ability to source trace data at a column level back to its origin helps confirm data quality and builds trust that the data is accurate and safe to use. “Fivetran’s Metadata API solves a major gap in extracting data from operational systems into modern analytical systems by delivering the much-needed context. The availability of the Metadata API will accelerate development of reliable and secure data-intensive applications by exposing lineage, impact analysis, and security and privacy aspects,” said Sanjeev Mohan, Principal at SanjMo, a data and analytics expert and former Research Vice President at Gartner. “Our customers are excited to move faster with more visibility, powered by metadata from Fivetran,” said Prukalpa Sankar, Co-Founder at Atlan. “No need to manually stitch together sources anymore. With the new Metadata API, customers can now bring metadata from Fivetran into Atlan for a truly automated data governance experience. This end-to-end lineage covers everything from upstream sources to the warehouse and BI layer, helping customers stay informed across complex data stacks with powerful root cause and impact analysis.” “data.world's interface with Fivetran enables data producers and data consumers to understand and trust the data synchronization and mapping along all databases, data sources and applications that matter to enterprises,” said Jon Loyens, CPO & Co-Founder at data.world. “Together with Fivetran, we provide granular data visibility, including metadata of source-destination column pairs, simplifying data discovery, data governance and actionable insights.” A new report issued by Vanson Bourne for Fivetran highlights that companies continue to struggle with proper data governance – a necessity for compliance. All (100%) U.S. respondents said their companies could improve data governance roles, policies and standards, with 90% of those polled in France, 82% of those surveyed in the U.K. and Ireland, and 82% of respondents in Germany saying the same. About Fivetran Fivetran is the global leader in modern data integration. Our mission is to make access to data as simple and reliable as electricity. Built for the cloud, Fivetran enables data teams to effortlessly centralize and transform data from hundreds of SaaS and on-prem data sources into high-performance cloud destinations. Fast-moving startups to the world’s largest companies use Fivetran to accelerate modern analytics and operational efficiency, fueling data-driven business growth. Fivetran is headquartered in Oakland, California, with offices around the world.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Stardog Joins Databricks Partner Connect

Stardog | September 26, 2022

Stardog, the leading Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — a seamless end-to-end user experience without the burden of moving or copying data. Together, Stardog's availability on Databricks Partner Connect enables joint customers to: Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases. Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights. Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills. "Data-driven enterprises are increasingly looking to build more context around their data and deliver a flexible semantic layer on top of their Databricks Lakehouse. "Stardog's Enterprise Knowledge Graph offers a rich semantic layer that complements and enriches a customer's lakehouse and we are excited to partner with them to bring these capabilities to Databricks Partner Connect." Roger Murff, VP of Technology Partners at Databricks A commissioned Forrester Consulting Total Economic Impact™ study concluded that a composite organization using Stardog's Enterprise Knowledge Graph platform realized a 320 percent return on investment over three years driven by $3.8 million in improved productivity of data scientists and engineers from faster analytics development, $2.6 million in infrastructure savings from avoided copying and moving data, and $2.4 million in incremental profits from enhanced quantity, quality, and speed of insights. "Our mission at Stardog is to help companies unite their data to unleash insight faster than ever before," said Kendall Clark, Founder and CEO at Stardog. "Databricks Partner Connect enables Stardog to deliver a seamless experience for Databricks customers to quickly add a semantic layer to their lakehouse, unlock insights in their data, and discover more value-impacting analytics use cases." About Stardog Stardog is the ultimate semantic data layer to get better insight faster. Organizations like Boehringer Ingelheim, Schneider Electric, and NASA rely on the Stardog Enterprise Knowledge Graph to accelerate insights from data lakes, data warehouses, or any enterprise data source.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

SpringML Partners With Turo To Accelerate Growth using Salesforce Analytics

SpringML | September 21, 2022

Turo, the world's largest peer-to-peer car sharing marketplace, has selected SpringML, Inc. as a partner for building data-driven solutions with Salesforce, including CRM Analytics and Tableau. The collaboration has enabled Turo to advance its strategy of using data to drive decision-making throughout its operations, supporting Turo Hosts and Guests around the world. "At Turo, we fundamentally believe that access to data insights empowers our team and our customers to make data-driven decisions more quickly. CRM Analytics is a game changer. To make this all possible, SpringML has been a great partner. What might have taken us the better part of a year to do ourselves, SpringML has enabled us to do in months. Thanks to SpringML, we can accelerate our vision to share more insights and to extract more value from our data." Albert Mangahas, Chief Data Officer at Turo Matt Wittlief, VP of the Salesforce practice at SpringML added, "SpringML has been thrilled to partner with Turo to eliminate technical debt, consolidate data visualization tools, and unlock predictive analytics. Together we're seeing how the right strategy and tools can transform the way a company does business." SpringML delivers data-driven digital transformation outcomes with an experimentation and design thinking mindset. The company provides consulting and implementation services and industry-specific analytics solutions that deliver high-impact business value from data. A Salesforce partner since 2015, SpringML has completed over 400 projects for customers, including analytics, forecasting, and multi-cloud solutions. Turo is the world's largest car sharing marketplace where guests can book any car they want, wherever they want it, from a vibrant community of trusted hosts. Whether they're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky for a once-in-a-lifetime event, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by sharing their underutilized personal vehicles or building an accessible, flexible, and scalable car sharing business from the ground up. Turo is home to a supportive and collaborative community that shares thousands of vehicles across the United States, Canada, France and the United Kingdom.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Fivetran Introduces Metadata API – Enables End-to-End Data Analysis and Visibility

Fivetran | September 20, 2022

Fivetran, the global leader in modern data integration, today announced the availability of Fivetran’s Metadata API to enable the tracking of data “in-flight” from source to destination as it moves through Fivetran-managed pipelines. With this additional visibility, customers can integrate with governance and observability tools to give data teams more control over who has access to what data. Enabling automated data governance, the Fivetran Metadata API also provides data stewards, security teams and data engineering teams the needed visibility to answer where the data came from, who accessed it, and what changes have occurred in the pipeline. “Every enterprise knows it must be data-driven, but traditional data governance has been a barrier with manual processes and reactive enforcement of policies. That's not a scalable approach, especially as data infrastructure grows to thousands of pipelines. “With Metadata API, our customers get out-of-the-box data governance automations and data quality workflows so they can proactively identify and take action on governance issues before they become a problem. Our automated in-flight approach enables data access at scale without increasing risk to the business.” Fraser Harris, VP of Product at Fivetran Complex legislation such as Europe’s GDPR, the California Consumer Privacy Act (CCPA), and other state laws impose fines on companies that do not comply with complex rules to safeguard data privacy. The Fivetran Metadata API helps enterprises address compliance requirements, easily integrating into their existing privacy and security strategies while bolstering the value of investments they’ve made in data catalogs and data quality solutions. With the Fivetran Metadata API: Data analysts are provided with a deep understanding of where data is coming from and are able to run impact analyses on it. Data stewards know end users have access to data that has been handled securely and is compliant with governance requirements. Security and legal teams can complete security audits and ensure the data moved is in compliance with organizational policies. Data architects and engineers will soon be able to understand upstream schema changes and ensure downstream processes are updated. Creating an automated data governance experience – Fivetran partners with leading data catalogs Fivetran is excited to launch better metadata management with four leading data catalog vendors: Atlan, data.world, Alation and Collibra. Here are the combined benefits: Information about all data can be consolidated into a single data catalog, for a complete view and seamless user experience. End-to-end data lineage graphs are available for data, despite data passing through multiple systems and tools. By centralizing governance in a single tool, data stewards can better ensure policies and processes are being applied to data as necessary. The ability to source trace data at a column level back to its origin helps confirm data quality and builds trust that the data is accurate and safe to use. “Fivetran’s Metadata API solves a major gap in extracting data from operational systems into modern analytical systems by delivering the much-needed context. The availability of the Metadata API will accelerate development of reliable and secure data-intensive applications by exposing lineage, impact analysis, and security and privacy aspects,” said Sanjeev Mohan, Principal at SanjMo, a data and analytics expert and former Research Vice President at Gartner. “Our customers are excited to move faster with more visibility, powered by metadata from Fivetran,” said Prukalpa Sankar, Co-Founder at Atlan. “No need to manually stitch together sources anymore. With the new Metadata API, customers can now bring metadata from Fivetran into Atlan for a truly automated data governance experience. This end-to-end lineage covers everything from upstream sources to the warehouse and BI layer, helping customers stay informed across complex data stacks with powerful root cause and impact analysis.” “data.world's interface with Fivetran enables data producers and data consumers to understand and trust the data synchronization and mapping along all databases, data sources and applications that matter to enterprises,” said Jon Loyens, CPO & Co-Founder at data.world. “Together with Fivetran, we provide granular data visibility, including metadata of source-destination column pairs, simplifying data discovery, data governance and actionable insights.” A new report issued by Vanson Bourne for Fivetran highlights that companies continue to struggle with proper data governance – a necessity for compliance. All (100%) U.S. respondents said their companies could improve data governance roles, policies and standards, with 90% of those polled in France, 82% of those surveyed in the U.K. and Ireland, and 82% of respondents in Germany saying the same. About Fivetran Fivetran is the global leader in modern data integration. Our mission is to make access to data as simple and reliable as electricity. Built for the cloud, Fivetran enables data teams to effortlessly centralize and transform data from hundreds of SaaS and on-prem data sources into high-performance cloud destinations. Fast-moving startups to the world’s largest companies use Fivetran to accelerate modern analytics and operational efficiency, fueling data-driven business growth. Fivetran is headquartered in Oakland, California, with offices around the world.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Stardog Joins Databricks Partner Connect

Stardog | September 26, 2022

Stardog, the leading Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — a seamless end-to-end user experience without the burden of moving or copying data. Together, Stardog's availability on Databricks Partner Connect enables joint customers to: Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases. Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights. Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills. "Data-driven enterprises are increasingly looking to build more context around their data and deliver a flexible semantic layer on top of their Databricks Lakehouse. "Stardog's Enterprise Knowledge Graph offers a rich semantic layer that complements and enriches a customer's lakehouse and we are excited to partner with them to bring these capabilities to Databricks Partner Connect." Roger Murff, VP of Technology Partners at Databricks A commissioned Forrester Consulting Total Economic Impact™ study concluded that a composite organization using Stardog's Enterprise Knowledge Graph platform realized a 320 percent return on investment over three years driven by $3.8 million in improved productivity of data scientists and engineers from faster analytics development, $2.6 million in infrastructure savings from avoided copying and moving data, and $2.4 million in incremental profits from enhanced quantity, quality, and speed of insights. "Our mission at Stardog is to help companies unite their data to unleash insight faster than ever before," said Kendall Clark, Founder and CEO at Stardog. "Databricks Partner Connect enables Stardog to deliver a seamless experience for Databricks customers to quickly add a semantic layer to their lakehouse, unlock insights in their data, and discover more value-impacting analytics use cases." About Stardog Stardog is the ultimate semantic data layer to get better insight faster. Organizations like Boehringer Ingelheim, Schneider Electric, and NASA rely on the Stardog Enterprise Knowledge Graph to accelerate insights from data lakes, data warehouses, or any enterprise data source.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

SpringML Partners With Turo To Accelerate Growth using Salesforce Analytics

SpringML | September 21, 2022

Turo, the world's largest peer-to-peer car sharing marketplace, has selected SpringML, Inc. as a partner for building data-driven solutions with Salesforce, including CRM Analytics and Tableau. The collaboration has enabled Turo to advance its strategy of using data to drive decision-making throughout its operations, supporting Turo Hosts and Guests around the world. "At Turo, we fundamentally believe that access to data insights empowers our team and our customers to make data-driven decisions more quickly. CRM Analytics is a game changer. To make this all possible, SpringML has been a great partner. What might have taken us the better part of a year to do ourselves, SpringML has enabled us to do in months. Thanks to SpringML, we can accelerate our vision to share more insights and to extract more value from our data." Albert Mangahas, Chief Data Officer at Turo Matt Wittlief, VP of the Salesforce practice at SpringML added, "SpringML has been thrilled to partner with Turo to eliminate technical debt, consolidate data visualization tools, and unlock predictive analytics. Together we're seeing how the right strategy and tools can transform the way a company does business." SpringML delivers data-driven digital transformation outcomes with an experimentation and design thinking mindset. The company provides consulting and implementation services and industry-specific analytics solutions that deliver high-impact business value from data. A Salesforce partner since 2015, SpringML has completed over 400 projects for customers, including analytics, forecasting, and multi-cloud solutions. Turo is the world's largest car sharing marketplace where guests can book any car they want, wherever they want it, from a vibrant community of trusted hosts. Whether they're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky for a once-in-a-lifetime event, guests can take the wheel of the perfect car for any occasion, while hosts can take the wheel of their futures by sharing their underutilized personal vehicles or building an accessible, flexible, and scalable car sharing business from the ground up. Turo is home to a supportive and collaborative community that shares thousands of vehicles across the United States, Canada, France and the United Kingdom.

Read More

Spotlight

TechTarget

TechTarget

TechTarget (Nasdaq: TTGT) is the global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget a...

Events

Resources