Q&A with Diane Perlman, CMO at Blis

Media 7 | February 5, 2021

Diane Perlman, CMO at Blis, is an established marketing leader with various brand experiences at Microsoft, as well as startup, scaleup, and agency-side experience. She is adept at creative problem solving with an agility to learn. She holds a track record in delivering results in structured and unstructured environments. You can follow her on Twitter here.

B2B marketers need to get ever-more creative about how to reach customers and get in front of them with exciting new developments. 



MEDIA 7: What inspired you to get into marketing? Please take us through your journey.
DIANE PERLMAN:
I always knew that I had a talent for words and creativity, and marketing was an area of interest for me. At university, I studied mass communications, and this solidified my path in the direction of marketing. Later, I got a Master's in business as well, which I thought would help me to more deeply understand all aspects of business and management. I wanted to be a stronger leader and a better partner in finance and sales, which are crucial to marketing success.

Right out of university, I started as a writer for a small independent agency and moved through most of the marketing disciplines, from PR to advertising to digital, both agency and client-side as well as large corporates like Microsoft, startups, and AdTech scaleups like Unruly and Blis more recently in my career. I got introduced to the entrepreneurial world of tech and, what was then called, ‘new media’ and I think it’s safe to say, I was hooked! I made the jump from a strategic PR agency to a startup tech company, and my life changed forever. It was that role that took me from the US across to the UK, where I’ve been living now for over 20 years. I’ve never looked back since then.

M7: How do you focus on demand generation as well as long-term brand building at Blis?
DP:
At a smaller company, it’s always a fine balance, because the focus is usually on driving leads vs long-term brand building. But both are important. I recently read some research conducted by LinkedIn in 2019, which found B2B brands that invest at least 50% of their budget in long-term brand building deliver the best financial returns in terms of market share growth, profitability, and revenue. Not only that, brand building does drive short-term sales – if you think about it, you’re much more likely to buy today from a brand that you know and like. So, for me and my team, it’s about finding that balance and having the right strategies and tactics, from awareness through to lead gen and sales.


Brand building drives short-term sales – if you think about it, you’re much more likely to buy today from a brand you know and like.



M7: How do you target content to your audience, and what are the challenges that you face while producing effective content?
DP:
Over the past year, we’ve had a content-heavy marketing strategy. When COVID-19 hit, we didn’t want to be just part of the noise. We knew we had to be as useful as possible to our clients, and that became our mantra. Blis operates in the AdTech industry and specifically, we are the leading privacy-first, location-powered programmatic partner. Our insights team produces an abundance of interesting insights using movement data across a variety of verticals. This gave the marketing team plenty to work with, as clients and our sellers alike were crying out for clues as to movement patterns and changing consumer behaviors. 
We produced several interactive ‘white papers’ and a regular ‘changing behaviors’ blog series and, given the budget constraints, we relied on our blog and social channels as well as direct email marketing to clients to distribute this exciting insights content. We also leveraged partner co-marketing with allied companies to expand our circle and drive reach.

One of the recurring challenges in a global business is that the local markets want local content, which makes driving a global content more challenging. But during the height of COVID-19 in 2020, all our markets were interested in learning from each other, especially from regions that were further along in the COVID-19 journey towards recovery. As a result, we were able to produce meaningful global content pieces. We also created a consumer confidence pulse for several key markets so that we could have an ongoing insights feed, to inspire our clients. 

M7: What do you believe are the top three product marketing challenges in the post COVID-19 era?
DP:
For Blis, our offering has traditionally been about working with the world’s largest brands and media agencies to drive foot traffic in stores. As the COVID-19 era has accelerated the move toward online and e-commerce, so one of the first challenges was to pivot to develop new tracking and measurement solutions and partnerships that enable us to drive consumers to a landing page or a shopping cart and measure that activity vs primarily in-store footfall.

The second challenge for any company operating in the AdTech industry, or indeed any brand that is doing advertising, is to develop and market products that reach consumers in a privacy-first way due to changing regulations, the death of the cookie, and the reduction of personal identifiers across Apple devices. While Blis has a heritage of privacy-first technologies, we have been working hard to future proof our offerings and innovate at this historic inflection point for the industry.

Thirdly, and what is hopefully a more transient challenge, is the limitations on face-to-face interactions with clients that are typically part and parcel of B2B marketing, from product roadshows to events. This means that B2B marketers need to get ever-more creative about how to reach customers and get in front of them with exciting new developments.


You don’t need to be a ‘techy’ or an engineer to work in tech. Be brave and avoid self-limiting beliefs when entering tech or any other career. 



M7: How are promotional tactics changing for products and services launching during these periods?
DP:
As marketers, we need to keep innovating, testing, and learning to try to breakthrough. As an example, I’ve been receiving and seeing more and more personalized video messages in emails that are really compelling and make you want to click. Even ‘old fashioned’ personalized gifting is taking on even more importance in this COVID-19 era as well, to create memorable moments and experiences for clients. ‘Zoom fatigue’ is real, so we also need to innovate from the standard webinar, moving to more on-demand content, where customers can view in their own time, or other more interactive formats, designed to engage and entertain.

M7: Your advice for young women considering a career in high tech?
DP:
The most important thing for young women to consider is that you don’t need to be a ‘techy’ or an engineer to work in tech. I’ve worked in and around tech almost my whole career, and as a marketer, what attracts me is the pace of the industry and also the challenge of simplifying complex messages and making them understandable and compelling. I also encourage young women to be brave and avoid self-limiting beliefs when entering tech or any other career. Self-belief and not being afraid to fail will go a long way to inspire the bravery needed to try new things, build credibility and make your mark. Just go for it!

ABOUT BLIS

Blis is the leading privacy-first, location-powered programmatic advertising partner. We deliver accurate targeting at scale without reliance on personal data, helping the world’s largest brands and media agencies drive key business outcomes through personalised and high-performing digital advertising. Established in the UK in 2004, Blis now operates in more than 40 offices across five continents and works with the world’s largest and most customer-driven companies across all verticals.

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

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

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

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

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

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

Read More

Related News

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Analytics8 Acquires High-End Data Analytics Consultancy Mashey

Analytics8 | September 23, 2022

Analytics8, a data and analytics consulting firm that specializes in designing, developing, and deploying modern data solutions, has announced the acquisition of Denver-based Mashey, a high-end data analytics consultancy focused on modern data technology. The move to acquire Mashey—which was finalized on Sept. 16, 2022—enables Analytics8 to further its goal of continued growth while providing exceptional data services to clients, career development opportunities for its staff, and enhanced partnerships with industry vendors. "Our objective is to build Analytics8 into the premier independent data and analytics consulting firm in North America." said David Fussichen, CEO of Analytics8. "This is another step in that direction." "We are delighted to welcome Mashey's entire team because they demonstrate and support the core values and business philosophy of Analytics8—where employees can grow their careers by engaging in interesting, meaningful client work, and where clients can come to expect the best experience working with a data and analytics consultancy." Mashey brings to Analytics8 additional capabilities around modern data technology, including dbt, Fivetran, Snowflake, Looker, Qlik, Airbyte, Sigma, Monte Carlo, and Firebolt, along with valued perspectives that come with years of experience in the data and analytics space. "We aim to be the best data analytics team possible, both for our customers and for ourselves," said Philip Lima, founder of Mashey. "Combining the Mashey team with Analytics8 will ensure we all get there even faster." As Analytics8 sets goals for continued growth, the company also renews its commitment to its employees, to foster an environment that promotes inclusivity and career development; and to its clients, to provide customer-centric data services that change how they work with data. If you're interested in learning more details about this acquisition, check out the interview with Analytics8 CEO, David Fussichen, and Mashey founder, Philip Lima. About Analytics8 Analytics8 helps organizations make smart, data-driven decisions by translating their data into meaningful and actionable information. Our data consultants help with the entire data and analytics lifecycle—from strategy to implementation—so companies can make sense of their data and use it to solve complex business problems.

Read More

BIG DATA MANAGEMENT,DATA SCIENCE

Qlik Expands Strategic Alignment with Databricks Through SQL-Based Ingestion to Databricks Lakehouse and Partner Connect Integration

Qlik | September 27, 2022

Qlik® today announced two significant enhancements to its partnership with Databricks that make it easier than ever for customers to combine Qlik’s solutions and Databricks to advance their cloud analytics strategies. First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability in Qlik Data Integration, which will simplify and improve customers' ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud® with Databricks Partner Connect, enhancing the Qlik Data Analytics trial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact. “We’re excited about the potential of Qlik’s Databricks Lakehouse (Delta) Endpoint to seamlessly and efficiently deliver the data customers need to drive more value from their investment in the Databricks Lakehouse. “And, with Qlik Analytics now integrated with Databricks Partner Connect, we are making it even easier for customers to discover, use and share data-driven insights across their organizations.” Roger Murff, VP of Technology Partners at Databricks Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks. This gives organizations the ability to cost effectively drive more data from a wide range of enterprise data sources, including SAP and Mainframe, into the Databricks Lakehouse while leveraging their cloud provider of choice such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure. Qlik has also recently integrated Qlik Cloud with Databricks Partner Connect. Databricks customers can now seamlessly experience Qlik Sense® SaaS within the Databricks Lakehouse Platform through an existing Qlik tenant or a free Qlik trial. The experience includes automatic configuration of connectivity to the customer’s Databricks environment, making it easier for Databricks customers to experience the power of Qlik Cloud. Both the new Databricks Lakehouse (Delta) Endpoint and Partner Connect integration demonstrate Qlik’s commitment to supporting customers like J.B. Hunt in their efforts to combine Qlik and Databricks for impact. “We’re seeing more demand for real-time data related to shippers and carriers in order to provide up-to-the-minute information on how they are performing. Qlik and Databricks help us to meet those demands,” said Joe Spinelle, Director of Engineering and Technology at J.B. Hunt. “As they migrate more and more to the cloud, Databricks customers want strategic partners that make it as easy as possible to deliver and analyze data for impact,” said Itamar Ankorion, SVP of Technology Alliances at Qlik. “With our new Databricks Lakehouse Endpoint and Databricks Partner Connect integration, Qlik is clearly demonstrating its alignment with Databricks and our dedication to the Databricks community to deliver an amazing experience that furthers their overall data strategies.” About Qlik Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud®, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

VAST Data and Dremio Break Down Data Silos And Accelerate Queries At Any Scale

VAST Data | September 30, 2022

VAST Data, the data platform company for the AI-powered world, today announced a strategic partnership with Dremio, the easy and open data lakehouse platform, to enable enterprises to get from data to insights faster with a hybrid, multi-cloud architecture for scalable analytics. Regardless of physical location – on-premises or in the public cloud – Dremio customers can now analyze their data anywhere by leveraging VAST’s massively parallel architecture for concurrent and near real-time data access at any scale. VAST and Dremio are at the forefront of a market shift away from siloed data warehouses and legacy data platforms such as Hadoop. As businesses struggle with the exponential growth of data volumes and data sources, they need a highly-scalable solution for storing that data, and providing broad and concurrent access for a wide range of technical and non-technical data consumers. Paired with Dremio, VAST's Universal Storage enables organizations to escape the restrictive, walled garden environment of Hadoop and the Hadoop File System. It provides customers with an open data lakehouse platform that powers the data management, data governance, and enterprise analytics capabilities typically found in a data warehouse, powered by an all-flash data store that is purpose-built to manage large volumes of structured, semi-structured, and unstructured data. In the spirit of public cloud object storage offerings like Amazon Simple Storage Service (S3), VAST unifies an organization’s data for analytics on a common, single-tiered and linearly scalable data platform - while also enabling customers to step into an all-flash S3 experience without the flash expense that’s common with conventional systems. Dremio provides an open data lakehouse platform that executes lightning-fast SQL queries using a common semantic layer across data sources, and a simple user interface. As a result, organizations can build capabilities that are superior to even public cloud offerings with cloud-native infrastructure that provide choice and flexibility on how and where data is managed. “Partnering with VAST ensures Dremio users are equipped with the lakehouse data capacity and scalable high performance necessary to run their business intelligence workloads and data analytics applications. “As data volumes continue to grow, VAST’s disaggregated architecture enables users to easily scale the performance and capacity that businesses demand, and that our open data lakehouse platform delivers.” Roger Frey, vice president of alliances at Dremio Faster time to data access Dremio’s open lakehouse platform enables organizations to query data directly in the data lake – and on S3 architecture – without having to copy or move data. By querying data in place, Dremio eliminates the need for complex and brittle ETL pipelines and data copies. Dremio reduces the time required to fulfill data access requests from weeks or months to just hours, and makes data teams more productive. Dremio also centralizes security and governance, and its no-copy architecture reduces network and storage costs. Dremio’s simplified data architecture complements VAST’s all-flash Universal Storage storage platform, which reduces latency and delivers a high-performance infrastructure for analytics at any scale. VAST’s breakthrough Universal Storage data platform reduces the amount of storage capacity necessary in cloud-native environments without compromising performance, optimizing spend and space. Together, Dremio and VAST accelerate access to data for analytics, and deliver insights to a wide range of data consumers. “We continue to see high market demand to underpin organizations’ modern data analytics infrastructure with VAST. Partnering with ecosystem leaders like Dremio drives a new approach to data analytics,” said Jeff Denworth, chief marketing officer and co-founder of VAST. “Partnering with Dremio ensures that our mutual customers have an optimized and simple out-of-the-box experience as they embrace a cloud-native architecture for their rapidly evolving data management needs.” About VAST Data VAST Data delivers the data platform at the heart of the AI-powered world, accelerating time-to-insight for workload-intensive applications. The performance, scalability, ease of use and cost efficiencies of VAST’s software helps enterprise organizations overcome the historic barriers to building all-flash data centers. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Analytics8 Acquires High-End Data Analytics Consultancy Mashey

Analytics8 | September 23, 2022

Analytics8, a data and analytics consulting firm that specializes in designing, developing, and deploying modern data solutions, has announced the acquisition of Denver-based Mashey, a high-end data analytics consultancy focused on modern data technology. The move to acquire Mashey—which was finalized on Sept. 16, 2022—enables Analytics8 to further its goal of continued growth while providing exceptional data services to clients, career development opportunities for its staff, and enhanced partnerships with industry vendors. "Our objective is to build Analytics8 into the premier independent data and analytics consulting firm in North America." said David Fussichen, CEO of Analytics8. "This is another step in that direction." "We are delighted to welcome Mashey's entire team because they demonstrate and support the core values and business philosophy of Analytics8—where employees can grow their careers by engaging in interesting, meaningful client work, and where clients can come to expect the best experience working with a data and analytics consultancy." Mashey brings to Analytics8 additional capabilities around modern data technology, including dbt, Fivetran, Snowflake, Looker, Qlik, Airbyte, Sigma, Monte Carlo, and Firebolt, along with valued perspectives that come with years of experience in the data and analytics space. "We aim to be the best data analytics team possible, both for our customers and for ourselves," said Philip Lima, founder of Mashey. "Combining the Mashey team with Analytics8 will ensure we all get there even faster." As Analytics8 sets goals for continued growth, the company also renews its commitment to its employees, to foster an environment that promotes inclusivity and career development; and to its clients, to provide customer-centric data services that change how they work with data. If you're interested in learning more details about this acquisition, check out the interview with Analytics8 CEO, David Fussichen, and Mashey founder, Philip Lima. About Analytics8 Analytics8 helps organizations make smart, data-driven decisions by translating their data into meaningful and actionable information. Our data consultants help with the entire data and analytics lifecycle—from strategy to implementation—so companies can make sense of their data and use it to solve complex business problems.

Read More

BIG DATA MANAGEMENT,DATA SCIENCE

Qlik Expands Strategic Alignment with Databricks Through SQL-Based Ingestion to Databricks Lakehouse and Partner Connect Integration

Qlik | September 27, 2022

Qlik® today announced two significant enhancements to its partnership with Databricks that make it easier than ever for customers to combine Qlik’s solutions and Databricks to advance their cloud analytics strategies. First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability in Qlik Data Integration, which will simplify and improve customers' ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud® with Databricks Partner Connect, enhancing the Qlik Data Analytics trial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact. “We’re excited about the potential of Qlik’s Databricks Lakehouse (Delta) Endpoint to seamlessly and efficiently deliver the data customers need to drive more value from their investment in the Databricks Lakehouse. “And, with Qlik Analytics now integrated with Databricks Partner Connect, we are making it even easier for customers to discover, use and share data-driven insights across their organizations.” Roger Murff, VP of Technology Partners at Databricks Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks. This gives organizations the ability to cost effectively drive more data from a wide range of enterprise data sources, including SAP and Mainframe, into the Databricks Lakehouse while leveraging their cloud provider of choice such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure. Qlik has also recently integrated Qlik Cloud with Databricks Partner Connect. Databricks customers can now seamlessly experience Qlik Sense® SaaS within the Databricks Lakehouse Platform through an existing Qlik tenant or a free Qlik trial. The experience includes automatic configuration of connectivity to the customer’s Databricks environment, making it easier for Databricks customers to experience the power of Qlik Cloud. Both the new Databricks Lakehouse (Delta) Endpoint and Partner Connect integration demonstrate Qlik’s commitment to supporting customers like J.B. Hunt in their efforts to combine Qlik and Databricks for impact. “We’re seeing more demand for real-time data related to shippers and carriers in order to provide up-to-the-minute information on how they are performing. Qlik and Databricks help us to meet those demands,” said Joe Spinelle, Director of Engineering and Technology at J.B. Hunt. “As they migrate more and more to the cloud, Databricks customers want strategic partners that make it as easy as possible to deliver and analyze data for impact,” said Itamar Ankorion, SVP of Technology Alliances at Qlik. “With our new Databricks Lakehouse Endpoint and Databricks Partner Connect integration, Qlik is clearly demonstrating its alignment with Databricks and our dedication to the Databricks community to deliver an amazing experience that furthers their overall data strategies.” About Qlik Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud®, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

VAST Data and Dremio Break Down Data Silos And Accelerate Queries At Any Scale

VAST Data | September 30, 2022

VAST Data, the data platform company for the AI-powered world, today announced a strategic partnership with Dremio, the easy and open data lakehouse platform, to enable enterprises to get from data to insights faster with a hybrid, multi-cloud architecture for scalable analytics. Regardless of physical location – on-premises or in the public cloud – Dremio customers can now analyze their data anywhere by leveraging VAST’s massively parallel architecture for concurrent and near real-time data access at any scale. VAST and Dremio are at the forefront of a market shift away from siloed data warehouses and legacy data platforms such as Hadoop. As businesses struggle with the exponential growth of data volumes and data sources, they need a highly-scalable solution for storing that data, and providing broad and concurrent access for a wide range of technical and non-technical data consumers. Paired with Dremio, VAST's Universal Storage enables organizations to escape the restrictive, walled garden environment of Hadoop and the Hadoop File System. It provides customers with an open data lakehouse platform that powers the data management, data governance, and enterprise analytics capabilities typically found in a data warehouse, powered by an all-flash data store that is purpose-built to manage large volumes of structured, semi-structured, and unstructured data. In the spirit of public cloud object storage offerings like Amazon Simple Storage Service (S3), VAST unifies an organization’s data for analytics on a common, single-tiered and linearly scalable data platform - while also enabling customers to step into an all-flash S3 experience without the flash expense that’s common with conventional systems. Dremio provides an open data lakehouse platform that executes lightning-fast SQL queries using a common semantic layer across data sources, and a simple user interface. As a result, organizations can build capabilities that are superior to even public cloud offerings with cloud-native infrastructure that provide choice and flexibility on how and where data is managed. “Partnering with VAST ensures Dremio users are equipped with the lakehouse data capacity and scalable high performance necessary to run their business intelligence workloads and data analytics applications. “As data volumes continue to grow, VAST’s disaggregated architecture enables users to easily scale the performance and capacity that businesses demand, and that our open data lakehouse platform delivers.” Roger Frey, vice president of alliances at Dremio Faster time to data access Dremio’s open lakehouse platform enables organizations to query data directly in the data lake – and on S3 architecture – without having to copy or move data. By querying data in place, Dremio eliminates the need for complex and brittle ETL pipelines and data copies. Dremio reduces the time required to fulfill data access requests from weeks or months to just hours, and makes data teams more productive. Dremio also centralizes security and governance, and its no-copy architecture reduces network and storage costs. Dremio’s simplified data architecture complements VAST’s all-flash Universal Storage storage platform, which reduces latency and delivers a high-performance infrastructure for analytics at any scale. VAST’s breakthrough Universal Storage data platform reduces the amount of storage capacity necessary in cloud-native environments without compromising performance, optimizing spend and space. Together, Dremio and VAST accelerate access to data for analytics, and deliver insights to a wide range of data consumers. “We continue to see high market demand to underpin organizations’ modern data analytics infrastructure with VAST. Partnering with ecosystem leaders like Dremio drives a new approach to data analytics,” said Jeff Denworth, chief marketing officer and co-founder of VAST. “Partnering with Dremio ensures that our mutual customers have an optimized and simple out-of-the-box experience as they embrace a cloud-native architecture for their rapidly evolving data management needs.” About VAST Data VAST Data delivers the data platform at the heart of the AI-powered world, accelerating time-to-insight for workload-intensive applications. The performance, scalability, ease of use and cost efficiencies of VAST’s software helps enterprise organizations overcome the historic barriers to building all-flash data centers. Launched in 2019, VAST is the fastest-selling data infrastructure startup in history.

Read More