BUSINESS STRATEGY

ThoughtSpot and Matillion Partner to Enable Rapid Delivery of Insights with Low-Code Data Integration and Live Analytics SpotApps

ThoughtSpot | June 15, 2022

ThoughtSpot
ThoughtSpot, the Modern Analytics Cloud company, and Matillion, the leading enterprise cloud data integration platform announced today their joint partnership to provide data model templates and Live Analytics to help data teams working in the cloud get up-to-date data insights in minutes. Organizations can leverage ThoughtSpot SpotApps, prebuilt solutions for specific use cases powered by Matillion’s data transformation platform, to accelerate time to value and give more users access to the data they need.

Companies of all sizes struggle to turn their dynamic, distributed, and diverse data into insights, and those insights into actions. The data pipelines built in the last decade fail to deliver the agility, flexibility, or intuitiveness required by modern businesses. Often, the go-to solution to migrate data into the cloud involves manually extracting and preparing the data, a code-intensive process that is complex and time-consuming. This is exacerbated by intensive, complex analytics platforms that require deep specialization to unearth insights from this data once it’s in a cloud platform. Data teams need to be able to rapidly ingest, transform, and empower their entire organization to analyze data to meet business demands. Together, ThoughtSpot and Matillion reduce development time needed to build data pipelines and launch new analytics use cases, helping business users easily access data and enabling data engineers to focus on more complex data projects.

Matillion’s low-code/no-code ELT templates via Shared Jobs solve this problem, offering users a cloud-native tool to extract, migrate, and transform data from any source, while ThoughtSpot makes it possible for anyone to analyze this data through search and AI. With Matillion, ThoughtSpot users can move data directly into their data cloud platform and quickly prepare it for analytics. As soon as the data is available, ThoughtSpot’s guided SpotApp configuration process makes it easy for users to stand up new Live Analytics use cases in seconds. SpotApps make getting up and running with use case templates simple for the most common SaaS applications such as ServiceNow, HubSpot, Okta, Google Analytics, and more with out-of-the-box ThoughtSpot Modeling Language (TML)-based worksheets, tables and Liveboards.

“Before building our modern data stack with Matillion, Snowflake, and ThoughtSpot, Sargento was spending excessive amounts of time in data preparation and manual reporting in Excel. We set out on a mission to find a best-of-breed cloud-first analytics solution to extract the business most value from the massive amounts of data we had in front of us,” explained Travis Lehn, Senior Manager of Data & Analytics at Sargento Foods, Inc. “After a rigorous selection process, we ultimately chose a stack that scales analytics across our business and provides self-service capabilities to our diverse user base.”

“ThoughtSpot’s experience layer capabilities empower anyone to use search and AI to uncover powerful business insights with Live Analytics and are the perfect pairing for the data extraction, transformation and readiness that Matillion provides in the ELT layer. “Through this partnership, we are dramatically reducing the stress and headache of building data pipelines and launching new analytics use cases, accelerating time to value for our customers in their data consumption and modern data stack journeys.”

Kuntal Vahalia, SVP of Worldwide Channel and Alliances

“Today’s modern data teams are burdened with the maintenance, migration, and preparation of data to perform analytics. Matillion and Thoughtspot alleviate that burden using low-code and no-code templates to accelerate time to insights,” said Ciaran Dynes, Chief Product Officer at Matillion. “Now data teams can focus on innovation to use data for advanced use cases to drive the business forward.”

About ThoughtSpot
ThoughtSpot is the Modern Analytics Cloud company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. Companies can put the power of their modern data stack in the hands of every employee, extend the value of their data to partners and customers, and automate entire business processes. ThoughtSpot enables everyone within an organization to limitlessly engage with live data regardless of their cloud data platform, making it easy to achieve granular, actionable insights through Live Analytics. Customers can take advantage of ThoughtSpot’s web and mobile applications to improve decision making for every employee. With ThoughtSpot’s developer-friendly platform, ThoughtSpot Everywhere, customers can also bring the Modern Analytics Cloud to their products and services, engaging users and keep them coming back for more. Organizations like Walmart, BT, T-Mobile, Snowflake, HubSpot, Exxon, Daimler, Medtronic, Hulu, Royal Bank of Canada, Nasdaq, OpenTable, Workato, and Nationwide Building Society rely on ThoughtSpot to transform how their employees and customers take advantage of data.

About Matillion
Matillion makes the world's data useful with an easy-to-use, cloud-native data integration and transformation platform. Optimized for modern enterprise data teams, only Matillion is built on native integrations to cloud data platforms such as Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse to enable new levels of efficiency and productivity across any organization.

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This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.


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DATA VISUALIZATION

Skykit Survey: Sharing Data Dashboards Broadly with Employees is Challenging, but Reaps Big Rewards

Skykit LLC | July 14, 2022

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BIG DATA MANAGEMENT

IBM Aims to Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition

IBM | July 07, 2022

IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time. Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020. As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1 Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems. Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription. The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations. For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation. "Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale." Daniel Hernandez, General Manager for Data and AI, IBM Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides. "You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients." Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022. About Databand.ai Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2. About IBM IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Alation Named Market Leader in BARC Score Data Intelligence Platforms Report

Alation | September 02, 2022

Alation Inc., the leader in enterprise data intelligence solutions, has been named a Market Leader in the inaugural BARC Score Data Intelligence Platforms report, recognizing the company’s convincing market execution and strong year-over-year global growth trajectory. The report underscores Alation’s demonstrated ability to help enterprises create a data culture where anyone can find, understand, and trust data. The BARC Score Data Intelligence Platforms report evaluates the most important international vendors of modern data intelligence platforms based on an extensive criteria catalog and customer evaluations. As a pioneer in categories including Metadata Management, Data Governance, and Data Cataloging, Alation is now a forerunner in Data Intelligence, a category that combines a range of different data components in a broader market space. Similar to how data fabric helps stitch together an organization’s business data landscape, BARC defines Agile Data Intelligence as the corresponding fabric for metadata. The report assesses vendors via comprehensive scores based on a detailed set of criteria, including the product’s global reach, the company’s total revenue, the product’s functionality as an independent data catalog, and data governance capabilities. As reported in the BARC Data Intelligence Platforms report, Alation: Has experienced a strong year-over-year global growth trajectory, particularly in EMEA and APAC, where the company is expected to continue expanding its partner network. Delivers a strong product strategy and roadmap, evidenced by the launch of Alation Cloud Service for Snowflake, a new offering that enables organizations of all sizes to catalog and govern data on Snowflake’s platform. Demonstrates a clear ability to share crowd-sourced wisdom, driving greater confidence in analytics and AI/ML by connecting every individual to governed, high-quality data and each other. Provides support for behavioral metadata, which offers an additional valuable resource on how metadata is handled across an organization. “A data intelligence platform lays the foundation for organizations creating a data culture, and empowering anyone in the business to find, understand, and trust data. “We’re proud to be recognized as a market leader by the BARC Score Data Intelligence Platforms report. Alation helps more than 400 enterprises get the most value from their data, and that’s why we are consistently recognized by top industry analyst firms. As Alation continues to expand globally, we’re excited to support organizations as they overcome their data challenges and drive widespread engagement and adoption of trusted data.” Satyen Sangani, CEO and co-founder at Alation “Organizations are understanding the significant value and benefits that data intelligence platforms provide,” said Timm Grosser, Senior Analyst Data and Analytics at BARC. “Upon analyzing the market, Alation was selected as a clear leader in the Data Intelligence Platforms report for their demonstrated ability to help customers accelerate data governance, organize business-valuable data, and choose from the data that meets their needs. Alation has refined and mastered catalog capabilities while expanding to support data collaboration, data governance, and automation offerings, catalyzing the shift toward a data-driven approach to business.” BARC describes data intelligence as “a smart and automated approach to extract, collect, and connect expert knowledge to get business value,” of which Alation expertly executes through the marriage of data intelligence and human brilliance. The report explicitly addresses data intelligence platforms, covering three main areas of focus: smart and automated extraction, collection and cross-linking of siloed, disparate metadata sources; smart support of human and machine-driven metadata curation and crowdsourcing; and smart and flexible metadata analysis to provide augmented and automated support for the needs of diverse user roles. This report follows Alation recently being named to the Constellation ShortList™ for Metadata Management, Data Cataloging, and Data Governance in Q3 2022 for the third consecutive year; recognized as a leader in the IDC MarketScape: Worldwide Data Catalog Software 2022 Vendor Assessment for the second successive year; named a top vendor in the Dresner Advisory Services’ 2022 Wisdom of Crowds Data Catalog Market Study for the sixth consecutive year; and recognized as Data Governance Partner of the Year by Snowflake, the Data Cloud company, for the second consecutive year. About Alation Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 400 enterprises drive data culture, improve decision making, and realize business outcomes with Alation, including AbbVie, Allianz Global Investors, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, General Mills, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint.

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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.

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