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Business Intelligence, Big Data Management, Data Science

USEReady Unveils MigratorIQ for Business Intelligence and Cloud Computing

USEReady | March 16, 2023 | Read time : 04:00 min

USEReady Unveils MigratorIQ for Business Intelligence and Cloud Computing

On March 15, 2023, USEReady, a leading data and analytics solutions provider, launched MigratorIQ, a comprehensive migration solution to automate and streamline organizations' transition to modern BI (Business Intelligence) and cloud computing platforms.

MigratorIQ is the culmination of USEReady's years of expertise assisting enterprises with migrating to new data ecosystems. MigratorIQ is based on a solution-specific methodology called MOM (Migration, Optimization and Modernization). The solution addresses the problems of CDAO (Chief Data Officer) offices that must handle migration and modernization along with BI investment optimization.

The Migration module aids in retiring legacy systems, the Optimization module emphasizes the right environment size, and the Modernization module focuses on cloud deployment. In addition, MigratorIQ is offered with a suite of tools designed to automate the digital transformation journey more than other choices.

With modern platforms, MigratorIQ has achieved 45% quicker TTM, 55% smaller report footprint, and 50% faster report processing time. Post-migration modernization and optimization are accomplished using tools like SnowIQ and Pixel Perfect, which provide observability and report bursting on a data clouds platform like Salesforce or Snowflake.

To migrate to the cloud, USEReady uses its proven "Plan Migrate Validate" architecture, and post-migration assistance is provided through a program called Data Cloud Expert (DCExp).

The USEReady team will attend the Gartner Data & Analytics Summit in Orlando, FL, from March 20 - 22, 2023, to discuss migration difficulties and learn more about MigratorIQ.

About USEReady

USEReady is a leading provider of data and analytics solutions. It specializes in helping organizations migrate to modern data ecosystems through its purpose-built solution approach called MOM (Migration, Optimization and Modernization). It gives organizations the strategies, tools, capabilities, and capacity to convert data into a competitive advantage. USEReady collaborates with cloud and data ecosystem titans, including Tableau, Salesforce, Snowflake, and Amazon Web Services, and has been named Tableau partner of the year on many occasions. With years of experience in data migration, the company helps organizations tackle migration with modernization while optimizing their BI investment.

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Modak Nabu: An Integrated Data Engineering Platform

Are you looking for a solution to break down data silos, democratize access, and unleash the true power of data within your enterprise? Check out how Modak has brought automation of the data life cycle within an organization leading toward innovation.

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Satellogic and Quant Data & Analytics Announce 3-Year Agreement

Business Wire | August 25, 2023

Satellogic Inc. (NASDAQ: SATL), a leader in sub-meter resolution Earth Observation data (“EO”) collection, announced today that it has signed an agreement with Quant Data & Analytics (“Quant”), a leading Saudi provider of Data & AI Products and Enterprise Solutions focused on the real estate and retail sectors. This strategic agreement leverages Satellogic’s high-resolution satellite imagery to serve and evolve the ever-expanding property tech landscape across the Kingdom of Saudi Arabia and the Gulf region. Quant’s collaboration with Satellogic will lead to the development of derivative products, transforming and broadening the adoption of data science, AI, and SaaS products for real estate and retail. Satellogic’s flexible and scalable business model will support Quant’s Suhail platform, an interactive real estate tool for agencies, developers, and clients. The agreement will empower the Saudi Arabian and Gulf region’s real estate and retail sector by delivering AI solutions and unparalleled insights, accuracy, and efficiency for driving growth and enhancing decision-making processes. Ahmed Bukhamseen, CEO of Quant Data & Analytics, stated, “Our collaboration with Satellogic marks a momentous advancement in data analytics for our region. The integration of high-resolution satellite imagery with our AI and geospatial technologies elevates our interactive real estate platform, Suhail, and Location Intelligence tool powered by Fruits360 to unprecedented levels. This strategy resonates with our vision of a data-driven global economy and fulfills our goal to spread, implement, and automate data-led solutions.” Caitlin Kontgis, Satellogic’s Senior Vice President of Commercial and Growth, added, “Quant is redefining the future of real estate and retail, creating opportunities for evolving processes such as property valuations and insurance underwriting. They needed an Earth Observation data provider capable of delivering high capacity, high resolution, and frequent revisits at an attainable price. This relationship illustrates the potential of Satellogic’s Earth Observation business model.” This collaboration is timely, coinciding with increased Saudi government investment in infrastructure to stimulate tourism, residential, and commercial real estate developments. Leveraging Satellogic’s high-resolution EO satellite constellation, the agreement will enable monitoring of rapid urban development and compliance with environmental and zoning regulations, enhancing competitiveness in the high growth market. By harnessing the power of satellite imagery, Quant is laying the foundation for a futuristic approach to data-led development, monitoring, and decision-making. This collaboration promises to be a game-changer in utilizing big data to make transformative impacts on real estate, retail and beyond. About Quant Data & Analytics As data became excessive and abundant, Quant was established as a Saudi consultancy company to provide services such as Data Analytics, Business Intelligence, Artificial intelligence, Machine Learning, Data Quality Management, and Analytics Training, Predictive Analytics, as well as AI & BI SaaS products. At Quant, we empower aspiring businesses and dynamic governments to become data-driven through our offered services, which allows them to optimize operations, enhance efficiency, and augment decision-making. About Satellogic Founded in 2010 by Emiliano Kargieman and Gerardo Richarte, Satellogic (NASDAQ: SATL) is the first vertically integrated geospatial company, driving real outcomes with planetary-scale insights. Satellogic is creating and continuously enhancing the first scalable, fully automated Earth Observation platform with the ability to remap the entire planet at both high-frequency and high-resolution, providing accessible and affordable solutions for customers. Satellogic’s mission is to democratize access to geospatial data through its information platform of high-resolution images to help solve the world’s most pressing problems including climate change, energy supply, and food security. Using its patented Earth imaging technology, Satellogic unlocks the power of EO to deliver high-quality, planetary insights at the lowest cost in the industry. With more than a decade of experience in space, Satellogic has proven technology and a strong track record of delivering satellites to orbit and high-resolution data to customers at the right price point.

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Mixpanel adds generative AI so companies can 'chat with their data'

Prnewswire | July 07, 2023

Mixpanel, the event analytics* pioneer, has integrated generative AI so companies can 'chat with their data'. The move makes it easier for companies to quickly understand the impact that product and marketing decisions have on their customers' experience and their company's bottomline. Mixpanel's application of generative AI allows queries built by AI to be reviewed so people can understand the source and accuracy of the report created, without the need to expose their proprietary data to the Large Language Model (LLM). Now, anyone using Mixpanel can clearly understand every customer's experience by asking plain English questions to OpenAI's 'GPT-3.5 Turbo' model, removing yet another barrier for companies that want to understand how people use their apps. For example, a non-technical employee at a ride hailing firm might ask: "Which group of users most frequently convert when we apply surge pricing across our key markets?" 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Traditionally, data analysts using Business Intelligence tools needed to write complex SQL queries when analyzing data, a requirement that made analytics a niche discipline and prevented companies from getting fast answers from data at scale. Mixpanel changed this with its event-based analytics system, which non-technical employees use to ask questions of their data with drop-down menus. The introduction of generative AI reimagines the data analytics process again, so anyone can use Mixpanel to support better decision making by easily asking questions of their data. The new Mixpanel generative AI interface is currently being used by a select group of customers as part of a closed Beta program. 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data.world Announces Data Governance and Data Catalog Integrations with Snowflake’s Snowpark

Globenewswire | July 04, 2023

data.world, the data catalog platform, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, an integration with Snowpark, the developer framework for Snowflake, the Data Cloud company. Through the integration, data.world provides data catalog, data governance, and DataOps applications that help Snowflake customers accelerate Snowpark migrations and govern Snowpark metadata. The integration follows data.world’s recent achievements of Powered by Snowflake, Data Governance Accelerated, and Snowflake Premier Partner status. “For our customers to be able to deploy data-intensive applications in the language of their choice – whether that’s Java, Python, or Scala – they first need to be able to find, understand, and trust the underlying data,” said Tarik Dweik, Head of Technology Alliances at Snowflake. “The integration with data.world will improve productivity for data engineers and provide answers around what functions are available, what jobs have been run and by whom, and when was this data last refreshed.” “Businesses can achieve significant cost savings and fuel innovation by migrating data assets to Snowflake,” said Lofan Leung, Head of Technology Alliances at data.world. “Our integration empowers joint customers to seamlessly manage and gain visibility into their data landscape, with enterprise-grade governance that enables organizations to embrace the cloud confidently.” Locating information is often challenging for data teams. They need metadata on functions, the lineage of those functions, and stored procedures to create a common understanding of data-intensive applications. data.world catalogs these Snowpark functions, enabling developers, data engineers, data scientists, and data product owners to get deeper access to the resources they care about and deliver enterprise-wide benefits, such as: Improved productivity: Tags for Snowpark functions based on metadata enable data teams to quickly find the relevant data and applications they need to support specific analytical use cases and business objectives. Increased efficiency: A clear understanding and visibility of what is available and for what purpose encourages data teams to share and reuse existing assets, saving development time and costs. Trust across the team: Trusted data and applications enable better decision making for downstream users with more visibility and improved understanding of how these objects are related to each other and support the business objectives. Faster and more reliable migration of data applications to the cloud: Teams are able to track statuses to manage migration workflow, create prioritized lists with high-value assets for higher return on investment, analyze data lineage for Snowpark UDFs to identify dependencies objects to lower migration risks, and document migration decisions in a centralized catalog platform. data.world’s unique knowledge graph architecture enables users to model and map key business concepts and relationships to any data asset. data.world establishes relationships between tables, views, functions, stored procedures, tasks, workflow, jobs, data applications with people, and business processes in a more holistic way. As a result, data teams with different backgrounds gain better insights faster across different domains to understand exactly how the data assets are related and being consumed by the business. Be sure to check out the Snowflake Summit 2023 keynotes live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter. To learn more about the Snowpark integration and the data.world Data Catalog Platform, visit data.world at Snowflake Summit, booth 1241. About data.world data.world is the data catalog platform. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has sixty-two patents and has been named one of Austin’s Best Places to Work eight years in a row.

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Satellogic and Quant Data & Analytics Announce 3-Year Agreement

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Satellogic Inc. (NASDAQ: SATL), a leader in sub-meter resolution Earth Observation data (“EO”) collection, announced today that it has signed an agreement with Quant Data & Analytics (“Quant”), a leading Saudi provider of Data & AI Products and Enterprise Solutions focused on the real estate and retail sectors. This strategic agreement leverages Satellogic’s high-resolution satellite imagery to serve and evolve the ever-expanding property tech landscape across the Kingdom of Saudi Arabia and the Gulf region. Quant’s collaboration with Satellogic will lead to the development of derivative products, transforming and broadening the adoption of data science, AI, and SaaS products for real estate and retail. Satellogic’s flexible and scalable business model will support Quant’s Suhail platform, an interactive real estate tool for agencies, developers, and clients. The agreement will empower the Saudi Arabian and Gulf region’s real estate and retail sector by delivering AI solutions and unparalleled insights, accuracy, and efficiency for driving growth and enhancing decision-making processes. Ahmed Bukhamseen, CEO of Quant Data & Analytics, stated, “Our collaboration with Satellogic marks a momentous advancement in data analytics for our region. The integration of high-resolution satellite imagery with our AI and geospatial technologies elevates our interactive real estate platform, Suhail, and Location Intelligence tool powered by Fruits360 to unprecedented levels. This strategy resonates with our vision of a data-driven global economy and fulfills our goal to spread, implement, and automate data-led solutions.” Caitlin Kontgis, Satellogic’s Senior Vice President of Commercial and Growth, added, “Quant is redefining the future of real estate and retail, creating opportunities for evolving processes such as property valuations and insurance underwriting. They needed an Earth Observation data provider capable of delivering high capacity, high resolution, and frequent revisits at an attainable price. This relationship illustrates the potential of Satellogic’s Earth Observation business model.” This collaboration is timely, coinciding with increased Saudi government investment in infrastructure to stimulate tourism, residential, and commercial real estate developments. Leveraging Satellogic’s high-resolution EO satellite constellation, the agreement will enable monitoring of rapid urban development and compliance with environmental and zoning regulations, enhancing competitiveness in the high growth market. By harnessing the power of satellite imagery, Quant is laying the foundation for a futuristic approach to data-led development, monitoring, and decision-making. This collaboration promises to be a game-changer in utilizing big data to make transformative impacts on real estate, retail and beyond. About Quant Data & Analytics As data became excessive and abundant, Quant was established as a Saudi consultancy company to provide services such as Data Analytics, Business Intelligence, Artificial intelligence, Machine Learning, Data Quality Management, and Analytics Training, Predictive Analytics, as well as AI & BI SaaS products. At Quant, we empower aspiring businesses and dynamic governments to become data-driven through our offered services, which allows them to optimize operations, enhance efficiency, and augment decision-making. About Satellogic Founded in 2010 by Emiliano Kargieman and Gerardo Richarte, Satellogic (NASDAQ: SATL) is the first vertically integrated geospatial company, driving real outcomes with planetary-scale insights. Satellogic is creating and continuously enhancing the first scalable, fully automated Earth Observation platform with the ability to remap the entire planet at both high-frequency and high-resolution, providing accessible and affordable solutions for customers. Satellogic’s mission is to democratize access to geospatial data through its information platform of high-resolution images to help solve the world’s most pressing problems including climate change, energy supply, and food security. Using its patented Earth imaging technology, Satellogic unlocks the power of EO to deliver high-quality, planetary insights at the lowest cost in the industry. With more than a decade of experience in space, Satellogic has proven technology and a strong track record of delivering satellites to orbit and high-resolution data to customers at the right price point.

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Prnewswire | July 07, 2023

Mixpanel, the event analytics* pioneer, has integrated generative AI so companies can 'chat with their data'. The move makes it easier for companies to quickly understand the impact that product and marketing decisions have on their customers' experience and their company's bottomline. Mixpanel's application of generative AI allows queries built by AI to be reviewed so people can understand the source and accuracy of the report created, without the need to expose their proprietary data to the Large Language Model (LLM). Now, anyone using Mixpanel can clearly understand every customer's experience by asking plain English questions to OpenAI's 'GPT-3.5 Turbo' model, removing yet another barrier for companies that want to understand how people use their apps. For example, a non-technical employee at a ride hailing firm might ask: "Which group of users most frequently convert when we apply surge pricing across our key markets?" 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While the AI feature will be made available to all Mixpanel users, it will also be optional, so people can choose to build queries using AI or continue with the existing user interface. Mixpanel is trusted with user behavior data and provides insights to 8,000 paying customers, including large enterprises and the world's most successful digital leaders, such as CNN, Uber and Yelp! That's why Mixpanel's introduction of generative AI prioritizes privacy. Mixpanel customers will not need to contribute their data to the Large Language Model, instead the AI increases the speed and ease with which queries are built, and it's Mixpanel that actually analyzes the underlying data. "Generative AI is a bit like electricity, you can build it into other products to make things faster and easier. We're using it to speed up workflows and simplify how people ask questions of their data. But this is just the start, and we expect LLMs will enhance analytics for years to come." added Movafaghi. Traditionally, data analysts using Business Intelligence tools needed to write complex SQL queries when analyzing data, a requirement that made analytics a niche discipline and prevented companies from getting fast answers from data at scale. Mixpanel changed this with its event-based analytics system, which non-technical employees use to ask questions of their data with drop-down menus. The introduction of generative AI reimagines the data analytics process again, so anyone can use Mixpanel to support better decision making by easily asking questions of their data. The new Mixpanel generative AI interface is currently being used by a select group of customers as part of a closed Beta program. The capability will be made available as an optional interface, at no additional cost, to all Mixpanel users over the coming weeks. *About Event analytics Event analytics captures every action (or event) that each user performs within a digital product, like an e-Commerce site or a ride hailing app. This very granular view helps companies understand how different groups of users behave at various points during their experience, to answer questions like: which cohorts of users drop off during sign-up? Using Mixpanel, it's now also possible to understand the knock-on revenue impact of such customer experience issues. This approach is much faster and easier than traditional Business Intelligence (BI) tools that require data to be prepared and tabulated, with BI queries coded in SQL. While BI analysis can provide a view of how many customers churned, it doesn't allow exploration of why users are behaving in certain ways. That's why event analytics is so crucial for product teams that create and continually improve the world's most successful digital products. About Mixpanel Mixpanel is an event analytics platform that allows anyone to get answers from their customer and revenue data in seconds. It offers powerful real-time charts and visualizations of how users interact with digital products. Regardless of technical expertise, anyone can focus on what's working, and spend more time on their best ideas with Mixpanel. To learn more visit: www.mixpanel.com

Read More

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data.world Announces Data Governance and Data Catalog Integrations with Snowflake’s Snowpark

Globenewswire | July 04, 2023

data.world, the data catalog platform, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, an integration with Snowpark, the developer framework for Snowflake, the Data Cloud company. Through the integration, data.world provides data catalog, data governance, and DataOps applications that help Snowflake customers accelerate Snowpark migrations and govern Snowpark metadata. The integration follows data.world’s recent achievements of Powered by Snowflake, Data Governance Accelerated, and Snowflake Premier Partner status. “For our customers to be able to deploy data-intensive applications in the language of their choice – whether that’s Java, Python, or Scala – they first need to be able to find, understand, and trust the underlying data,” said Tarik Dweik, Head of Technology Alliances at Snowflake. “The integration with data.world will improve productivity for data engineers and provide answers around what functions are available, what jobs have been run and by whom, and when was this data last refreshed.” “Businesses can achieve significant cost savings and fuel innovation by migrating data assets to Snowflake,” said Lofan Leung, Head of Technology Alliances at data.world. “Our integration empowers joint customers to seamlessly manage and gain visibility into their data landscape, with enterprise-grade governance that enables organizations to embrace the cloud confidently.” Locating information is often challenging for data teams. They need metadata on functions, the lineage of those functions, and stored procedures to create a common understanding of data-intensive applications. data.world catalogs these Snowpark functions, enabling developers, data engineers, data scientists, and data product owners to get deeper access to the resources they care about and deliver enterprise-wide benefits, such as: Improved productivity: Tags for Snowpark functions based on metadata enable data teams to quickly find the relevant data and applications they need to support specific analytical use cases and business objectives. Increased efficiency: A clear understanding and visibility of what is available and for what purpose encourages data teams to share and reuse existing assets, saving development time and costs. Trust across the team: Trusted data and applications enable better decision making for downstream users with more visibility and improved understanding of how these objects are related to each other and support the business objectives. Faster and more reliable migration of data applications to the cloud: Teams are able to track statuses to manage migration workflow, create prioritized lists with high-value assets for higher return on investment, analyze data lineage for Snowpark UDFs to identify dependencies objects to lower migration risks, and document migration decisions in a centralized catalog platform. data.world’s unique knowledge graph architecture enables users to model and map key business concepts and relationships to any data asset. data.world establishes relationships between tables, views, functions, stored procedures, tasks, workflow, jobs, data applications with people, and business processes in a more holistic way. As a result, data teams with different backgrounds gain better insights faster across different domains to understand exactly how the data assets are related and being consumed by the business. Be sure to check out the Snowflake Summit 2023 keynotes live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter. To learn more about the Snowpark integration and the data.world Data Catalog Platform, visit data.world at Snowflake Summit, booth 1241. About data.world data.world is the data catalog platform. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has sixty-two patents and has been named one of Austin’s Best Places to Work eight years in a row.

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