newThe differences between data modeling in MongoDB vs. relational databases... — MongoDB, in future
newConnect with Stardog at Gartner Data & Analytics to learn more about how an Enterprise Knowledge Graph Platform lets you create a flexible, scalable and agile semantic data layer to uncover new insights and answer complex queries. Transforming your existing data infrastructure into a data fabric or similarly connected data architecture underscores Gartner's top trend of creating composable data and analytics in order to connect and accelerate the right data at the right time to make more informed decisions. — stardog.com, 2h ago
new..., a popular London choice, splits its courses into web development, data analytics and data science. — icrypto.media, 4h ago
newSmartSERP offers businesses the competitive edge they need to succeed in SEO. Their competitor analysis tool provides all of the data and insights needed for companies to develop more effective strategies than their rivals—from tracking search engine rankings, keyword targeting, and backlink profiles, SMART SERP helps you stay one step ahead. — martechexec.com, 4h ago
new...•Data pipeline automation remains fractured. Data teams use a relatively equivalent mix of job schedulers, scripts, enterprise workload automation, and open-source schedulers to automate their data pipelines. No data team uses only one tool. Rather, most data teams employ all the different automation methods — indicating an opportunity to implement an orchestration layer for centralized management and observability. — Digitalisation World, 5h ago
new..., formerly Google Data Studio, is a free data visualization tool that can be used to convert site data into customizable informative reports and dashboards. For Ahrefs,... — What’s New in Publishing | Digital Publishing News, 12h ago
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new...is skilled in data engineering, RPA automation and Tableau data visualisation among other things. Khushboo is a pioneer in developing voice biometrics for call centre augmentation and implementing sentiment analysis and survey analysis using AWS Comprehend and NLP. — Analytics India Magazine, 14h ago
newCloud storage and computing is another technology impacting geospatial data and service delivery. This enables the ensemble approach by providing analysts with data aggregation, and AI/ML tools. The analysts, in turn, can provide easy access and insights to users who are not experts in geospatial analytics. — Geospatial World, 12h ago
newPower BI is an ideal solution for data analytics and business intelligence. It can connect to various data sources, including cloud-based and on-premises data sources, providing a centralized platform to manage and analyze data. The software can help organizations make data-driven decisions by providing interactive visualizations and insights. — newsbeezer.com, 20h ago
Experience in data visualization or data dashboard tools such as Tableau, Looker, Power BI, Google Data Studio, or Salesforce... — Crypto Careers, 13d ago
Hands-on experience building dashboards with a data visualization tool such as Tableau, Looker, Data Studio, etc. — Crypto Jobs List, 4w ago
Big data with advanced analytics for OEE — using Spotfire, SAS, Big Query ML... — Semiconductor Engineering, 4d ago
...is a leading BI and data visualization tool that allows users to create interactive and visually appealing dashboards and reports for analyzing and sharing data. With its drag-and-drop interface and robust data connectors, Tableau makes it easy to connect to various data sources, blend data, and create insightful visualizations. It helps anyone– from data scientists to business users– uncover insights faster with accessible ML, natural language, statistics, and smart data prep. — Simform - Product Engineering Company, 7d ago
Data visualization is the process of transforming data into graphical formats such as charts, maps, and graphs. It allows data scientists to explore and analyze data in an intuitive way, which can be used to identify trends, anomalies, and correlations. Popular data visualization tools include Tableau, Microsoft Power BI, and Python libraries such as Matplotlib. — TechnoBugg, 19d ago
Experience with data visualization using Power BI, SAS VA, and Power Pivot... — henkel.com, 14d ago
newDataSet is a log analytics platform provided by Sentinel One that helps DevOps, IT engineering, and security teams get answers from their data across all time periods, both live streaming and historical. It’s powered by a unique architecture that uses a massively parallel query engine to provide actionable insights from the data available. — Software Engineering Daily, 16h ago
new...have countless benefits for tech teams and professionals. It streamlines processes, improves efficiency, and provides access to powerful analytics tools. Learn 5 best #datascience frameworks. — recruitingblogs.com, 19h ago
new..., the next generation of the SAP Data Warehouse Cloud solution, solves a lot of the challenges people have with the volume and distribution across data. SAP Datasphere closely aligns existing components in the Business Technology Platform along with newly available data integration, data cataloging, and semantic modeling features. — SAPinsider, 21h ago
newSemarchy xDM addresses underlying data problems using a single software platform for governance, master data, reference data, data quality, enrichment, and workflows to improve business outcomes. xDM’s data models enhance Microsoft Azure Purview customers’ data catalog capabilities. — MarTech Series, 1d ago
newAdobe Summit’s 2023 event will offer sessions on analytics for customer journeys, B2B marketing, collaborative work management, content that drives performance, customer data management, the developer ecosystem,... — CMSWire.com, 20h ago
newThese data lake frameworks help you store data more efficiently and enable applications to access your data faster. Unlike simpler data file formats such as Apache Parquet, CSV, and JSON, which can store big data, data lake frameworks organize distributed big data files into tabular structures that enable basic constructs of databases on data lakes. — Zephyrnet, 1d ago
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OpenText Magellan is a flexible AI and analytics platform with the ability to acquire, merge, manage, and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan provides automation, business optimization, and machine-assisted decision-making. It combines open source machine learning with advanced analytics, enterprise-grade BI, and these capabilities. — MarkTechPost, 5d ago
Sisense’s Big Data platform can be the best option if you need a large data solution but lack programming knowledge. Without needing extra technology, software, or professionals, Sisense bills itself as the first big data analytics platform that enables users to organize and interpret terabyte-scale data from numerous sources. Sisense’s technology bridges the gap between tools that supervise big data and those that give superior data analytics and visualization. It offers bespoke implementations for several industries, including manufacturing, healthcare, and retail. The application provides integrated ETL tools, an analytical database, Python and R, and reliable data visualization and analysis capabilities. — ReadITQuik, 4d ago
Experience with data visualisation tools such as Power BI, Tableau, R Shiny, QlikView... — Jobs.ac.uk, 7d ago
newMicrosoft fundamentals also offers a gateway to advanced certification in Data science, Cloud management, CRM optimization…... — EDHEC BUSINESS SCHOOL, 20h ago
newTransformative Intelligence: Leverage AI-powered insights, recommendations and automation built into SAP applications, like SAP S/4HANA and SAP SuccessFactors. — govtechreview.com.au, 20h ago
newSyniti solves the world's most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with the Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti's silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution. Syniti is a portfolio company of private equity firm Bridge Growth Partners LLC. Read more at... — prnewswire.com, 1d ago
newData Platforms Vs Data Warehouses Vs Data Virtualization And Federated SQL Engine... — DEV Community, 1d ago
newUbitus will leverage Google Cloud’s open infrastructure, enhanced cybersecurity protection, and expertise in data, AI and ML to further streamline cloud game distribution worldwide... — The Metaverse Insider, 1d ago
new...— The SAP Datasphere provides data federation, data lakes, data warehouses, and SAP apps, while preserving the context of the data. The tool also offers a... — Acceleration Economy, 1d ago
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What’s New in Publishing | Digital Publishing News, 12h ago
Turn your LIMS data into insights with the powerful data visualization tools of Microsoft Power BI. — qbench.com, 12d ago
Neiweem says as digital transformation evolves, DBAs will need to become experts in data analytics and AI tools that will help them better analyze data and find commonalities and trends within data sets, such as Tableau and Snowflake. — InformationWeek, 13d ago
Now owned by Hitachi Vantara, Pentaho describes itself as “a comprehensive data integration and business analytics platform.” Its customers include Caterpillar, Halliburton, BR, and Nasdaq. It allows organizations to integrate big data from a variety of sources, including Hadoop, NoSQL databases, analytic databases, and relational databases. It then enables interactive analysis, reporting, and visualizations, allowing users to create customized dashboards that suit their unique purposes. — Datamation, 19d ago
Analytics and Storytelling Era: The effort of statisticians, operations researchers, and savvy business professionals and analysts generated a lot of excitement around advanced mathematics, especially the potential ROI that businesses could generate from the same. Words like Multivariate Regression, Logistic Regression, K-Means Clustering, Linear Programming, Markov Chains, Monte Carlo Simulations, and others became popular in the corporate world. SQL, SPSS, SAS, and R were the dominant programming tools in the hands of these analytics professionals—now being called data scientists. Simultaneously, more modern business intelligence tools like Tableau, Qlik, Spotfire, and others emerged and enabled more effective and efficient data storytelling. — Analytics India Magazine, 6d ago
Must have proficiency in Python, Power BI, SQL for statistical analysis, machine learning techniques, and data visualization; Experience in PySpark, Databricks, and R is highly preferred... — henkel.com, 14d ago
newDay 9: • Introduction to Power BI • Connecting to Data Sources in Power BI • Creating Reports and Visualizations in Power BI • Basic Calculations in Power BI • Advanced Visualization Techniques in Power BI • Creating Interactive Dashboards in Power BI • Sharing and Publishing Reports in Power BI... — onlineprnews.com, 1d ago
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new...is an all-in-one data infrastructure for Web3 that allows you to index, transform, and use on-chain data at scale through APIs, pipelines, and SQL. By leveraging enriched on-chain data and streaming computing technologies across one data infrastructure. Chainbase automates the querying and indexing of blockchain data, enabling developers to accomplish more with less effort. — Smart Liquidity Research, 1d ago
newUsing pioneering privacy enhancing technologies, PrivaSapien enables DPOs/ CISOs/ Data Analytics teams to visualise and mitigate privacy risk in data pipelines and data lakes so that data can be unlocked for business value creation through analytics and strategic business decision making. — YourStory.com, 1d ago
new..., deliver software in an agile fashion, and reduce security and governance risks. Data analysts, meanwhile, must search and query exploding volumes of business records and other types of data to create dashboards and reports on business operations. — SiliconANGLE, 1d ago
newRATH is an open-source data analytics software that streamlines and enhances how data scientists, data analysts, and business intelligence users conduct exploratory data analysis. It’s designed to improve efficiencies, experiences, and results in preparing, exploring, analyzing, and visualizing data. — Financesonline.com, 1d ago
newRATH is a data analytics software that simplifies and augments the preparation, exploration, and visualization of data for data scientists, data analysts, and business intelligence users. — Financesonline.com, 1d ago
newAs the industry continues to evolve, clients increasingly expect automation solutions and advanced analytics capabilities, such as machine learning, to achieve their marketing goals. Today, data warehouse automation tools offer a variety of benefits, including real-time data extraction, analysis of cloud data, and web application services. In a data-driven field, advanced automation and analytics are critical tools for success. — MarTech Series, 1d ago
newFrom the most basic data tasks, such as formatting, to the most complex, such as entity resolution or extraction, Numbers Station enables all information workers to leverage AI to transform data. With Numbers Station, data workers can connect to their data warehouse, use a conversational interface to prototype intelligent data transformations powered by proprietary foundation model technology, and then deploy their pipelines back into their data warehouse. Customers can apply these new automated pipelines to business use cases spanning any department managing heavy analytics. — FinSMEs, 1d ago
newTableau is a leading data visualization tool that allows businesses to create interactive dashboards, reports, and visualizations. It handles a variety of data sources and has a drag-and-drop interface. — SaaSworthy Blog -, 1d ago
newAlternative data sources, such as social media activity, satellite imagery, and geolocation data, can give significant insights into customer behavior, market trends, and industry dynamics that traditional data sources cannot easily capture. Yet, interpreting this data can be difficult since it is frequently unstructured and requires specialized techniques to extract valuable insights. This is where machine learning can play a crucial role. — IoT Worlds, 1d ago
newFortunately, there are tools available today to help brands automate and execute personalization at scale. Most CRMs integrate with these tools (think email marketing software or data analytics tools) to make the process seamless. — ActualTech Media, 1d ago
newPower BI: Provides users with powerful data visualization and analytics tools to gain insights into their business data. Users can create custom reports and dashboards, helping them make data-driven decisions and drive business growth. — Zephyrnet, 1d ago
newSend Google Search Console Data to BigQuery with The Bulk Data Export... — seroundtable.com, 1d ago
new...announced a series of enhancements to its analytics suite. Key enhancements to TIBCO’s following analytics solutions include TIBCO Spotfire 12.2 now offers a scalable, self-service analytics platform with built-in governance; TIBCO Streaming now offers dynamic learning and analyzes streaming data to automate data management and analytics calculations on real-time events, merging historical and streaming data as part of the same analysis; TIBCO Data Science – Team Studio updates include a new Apache Spark 3 workflow engine and TIBCO Data Virtualization for data management. — RTInsights, 1d ago
new...is orchestrated by data tools like Google Data Studio, Redash, Apache Spark, Splunk, Tableau and more. However, in the context of digital experience, the majority of the work is done by CDPs. CDPs come in four types, each with its own set of services and limitations: Data, Analytics, Campaign and Delivery CDP. The names of the types are self-explanatory. Delivery CDP, in particular, offers a comprehensive CDP package, including customer data activation for their experience. — CMSWire.com, 1d ago
newBoomi: Making ERP Modernization Real with Intelligent Data Automation and Integration,... — prnewswire.com, 1d ago
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newExperience of using research and analytics tools such as survey platforms, analytics tools, or mobile ethnography... — Jobs.ac.uk, 1d ago
newPandas is a popular open-source data analysis library for Python. It provides powerful data structures for working with structured data and a wide range of tools for data manipulation, analysis, and visualization. — DEV Community, 1d ago
newEvidence of highly developed numerical and IT skills, including data manipulation and presentation using standard Microsoft products (excel) to support communication, analysis of information, data dissemination and project management. — Jobs.ac.uk, 1d ago
Data warehouse: In this step, data is stored and managed on an enterprise scale. Decision-makers, business analysts, data engineers and data scientists can analyze this data and gain valuable insights from BI, SQL clients and other analytics apps. — EE Times Asia, 15d ago
Additionally, candidates who have knowledge of data visualization tools and techniques can create visual representations of data that are easy to understand and engage stakeholders. This can include tools such as Tableau, Power BI, or Google Data Studio. — aztechcouncil.org, 6d ago
Experience with SQL, Tableau or other BI visualization tools, and SAS or SAS equivalent. — 7wData, 6d ago
...’s Senior Solutions Engineer Mark Pockl as he demonstrates how to combine Excel-based SAP tools to automate FICO data entry and install drillable, real-time financial reporting to gain valuable business insights. He’ll also be showcasing a tool that lets business users across departments act on financial data insights and automate SAP data processes. — SAPinsider, 6d ago
newETL and ELT have their pros and cons, so businesses need to think carefully about their data processing needs before deciding which one to use. But ETL is better than ELT for complex data transformations, cleaning data from multiple sources, keeping track of the past, and automating tasks. With the right ETL tools and expertise, businesses can improve their data processing capabilities, automate data processing and integration, and accelerate time-to-insight, enabling them to stay ahead of the competition and meet customer needs. — dzone.com, 1d ago
newA little background on New Relic: New Relic empowers engineers with a data-driven approach to planning, building, deploying and running software. New Relic delivers a unified data platform that empowers engineers to get all telemetry — metrics, events, logs and traces — paired with full stack analysis tools to help engineers do their best work with data, not opinions. — tmcnet.com, 1d ago
newMarketers are turning to data management tools such as warehouses, lakes, and visualization solutions in order to discover powerful insights from their vast amounts of customer information. By using these innovative systems strategically for analysis purposes, marketers can craft more successful campaigns that target the right audiences with maximum impact. — martechexec.com, 2d ago
newAltair a developer of computational science and artificial intelligence (AI), announced the rebrand of its entire data analytics and AI suite as Altair RapidMiner, uniting all data analytics technology into one platform. — Scientific Computing World, 2d ago
Providing Executive Leadership Data Quality Trends using the 1Integrate Google BigQuery DataStore... — 1spatial.com, 3d ago
Make use of tools like looker/tableau for creating reporting and insights and present them to internal stakeholders and leadership. — Crypto Careers, 3d ago
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Available today, SAP Datasphere is the next generation of the SAP Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, SAP Datasphere enables data professionals to help distribute mission-critical business data – with business context and logic preserved – across their organization’s data landscape. SAP Datasphere is built on SAP Business Technology Platform (SAP BTP), which includes strong enterprise security capabilities, such as database security, encryption, and governance. No additional steps or migrations are required for existing customers of SAP Data Warehouse Cloud, who will benefit from new SAP Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages, and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in SAP applications. Additional application integration capabilities that link data and metadata from cloud solutions from SAP to SAP Datasphere are planned. — CRN - India, 5d ago
Business leaders can also leverage the expertise of digital teams to help implement emerging technologies such as data analytics, AI and automation tools. For example, a global financial services firm was able to improve its cybersecurity program with the help of data analytics tools such as Alteryx, PowerBI and Tableau, which were utilized to identify access management risks across multiple business applications. — EisnerAmper, 20d ago
Savant’s end-to-end analytics automation lets users easily create dataflows, analytics workflows and leverage analytics bots to automate repetitive tasks. This introduces a breakthrough way to automate analytics across data sources while delivering results to modern dashboards and applications. Analysts can now drag-and-drop no-code, low-code analytics widgets to access, clean, prep, process and analyze data, and then deploy RPA bots to automate data delivery – all without coding or complex data engineering lift. The Savant Analytics Automation Platform supports bot-driven access to 200+ data platforms, cloud data warehouses and business applications, 300+ drag-and-drop analytics widgets to speed automating analytics, and bot-driven delivery of insights to 100+ business applications and dashboards. — MarTech Series, 20d ago
The data-driven intelligence framework combines Bosch domain knowledge with semantics, digital twins, and AI, and enables scalable data-driven solutions. — bosch-mobility-solutions.com, 3d ago
.... Some rely on tools to keep data in line. Others centralize data governance under roles like CIO. Others ask data product managers to drive the value-creation aspects of data governance. — 7wData, 3d ago
..., including all-in-one SEO tool sets, specialized software, enterprise platforms, AI-driven solutions, and WordPress plugins. — MarketingProfs, 3d ago
...that its data visualization software unit Tableau is launching new AI features that offer personalization and automation to enable data to be more accessible across organizations. Tableau will let companies use natural language while adding business context to dashboards. — InformationWeek, 4d ago
IBM Cognos Analytics - Author Reports with Multidimensional Data (V11.0) (TPZL1_B6061)... — qa.com, 4d ago
According to Microsoft, Copilot combines the power of large language models with business data and Microsoft 365 apps to help users unleash creativity, unlock productivity and uplevel skills. — ComputerWeekly.com, 4d ago
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization. — BrightTALK, 18d ago
When combined with Google Search Console data, Looker Studio offers powerful tools to build customized, insightful dashboards that can enhance your SEO strategy. — Search Engine Journal, 6d ago
Leverages open-source data visualization tools to accelerate the inspection of data trends and relationships. Integrates data visualizations into management and operational dashboards. — RTInsights, 7d ago
ISG views the BI and analytics tools as lowhanging fruit and essential for enterprises. Business that have better maturity in data and analytics are actively exploring options to maximize the value derived from their data by ensuring that the outcome is trusted and secured. These organizations want to invest in tools that ensure data trustworthiness, and that maximize data quality to empower decision-making. As data democratization, data sharing and data monetization become the foundation for the next generation of enterprises, data governance is viewed as the core guiding principle to drive these initiatives. These factors have prompted ISG to study the analytics platform market to analyze embedded analytics and BI platforms and data governance platforms. — isg-one.com, 21d ago
Snowflake sells data analytics and management tools that run on cloud-computing platforms such as Amazon Web Services, part of... — Investor's Business Daily, 19d ago
Big Data Analytics, CRM, Configuration Management, Connectivity Management, Dashboard, Data Cleansing, Data Connectors, Data Management, Data Mapping, Data Masking, Data Quality, Control Data Transformation, Database Support, Developer Portal, Drag & Drop, EDI, ERP, ETL, Email Management, Event Tracking, HR Management, Help Desk Management, Integrations Management, Mobile Access, Multiple Data Sources. — SaaSworthy Blog -, 12d ago
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...has rebranded its data analytics and artificial intelligence (AI) suite as Altair RapidMiner, uniting all data analytics technology into one platform. After the acquisitions of RapidMiner and World Programming, the Altair RapidMiner platform offers end-to-end solutions from data ingestion and modeling to operationalization and visualization. — Digital Engineering, 4d ago
In this DataHour, explore with Mona the advantages of using Google Cloud for AI/ML, and delve into some of their new product offerings such as Vertex AI Vision, Document AI Solution, and Enterprise Translation Hub. She will also explain about BigQuery ML, a powerful tool that enables businesses to perform machine learning on the data stored in BigQuery. — Zephyrnet, 3d ago
Snowflake’s capabilities may be sophisticated and complex, but the platform’s user-friendly interface and simplified SQL (programming) language make it easy for non-technical users to access and examine data. Also, Snowflake integrates with many popular cloud tools and platforms, further streamlining the data analytics process. — markets.businessinsider.com, 3d ago
A typical dataset contains numerical elements, such as numbers, amounts, measures, etc. Power BI has AI capabilities built right into the platform. Studying this numerical information correctly allows organizations to discover new insights. Although analyzing non-numerical data can be difficult, Power BI’s AI tools let organizations examine text data to uncover new insights. The types of AI visuals used in Power BI are:... — LatentView Analytics, 4d ago
...'s respective cloud services, Data Cloud also supports marketplace services that make it easy to buy, sell, and share access to data that can improve business efficiency. Using these features as a foundation, the software specialist is also positioning its Powered By Snowflake platform as a go-to destination for developing and running data-intensive applications. — The Motley Fool, 3d ago
..., a generative AI tool combining large language models (LLMs) with data resident in Microsoft Graph and Microsoft 365 apps. — Benzinga, 4d ago
Most enterprises use a separate platform for streaming analytics. With CelerData 3, streaming data analytics and data lake analytics are unified into one platform, eliminating the roadblocks for real-time insights on a data lakehouse. — TFiR, 4d ago
...✅ Sync to automation tools like Marketo, Braze, and Iterable using Reverse ETL.✅ Segment customer lists based on third-party data attributes like company size.✅ Power any BI tool, ETL process, or SQL integration connected to the warehouse. — getcensus.com, 4d ago
Learn advanced skills to create dashboards & data visualizations in Excel... — Techdirt, 4d ago
Hootsuite is a very popular social media management platform that helps marketers stay organized with everything from content creation to analytics. This cloud-based software allows customers to schedule posts, monitor keywords, track all conversations in one place, post directly across multiple networks and much more! With its advanced features like custom branding tools, HootSuite facilitates better brand building and relationship management. — Connection Cafe | Cafe for Geeks, 4d ago
Mobile apps that use this software improve business due to the apps' unique features fuel analytics and data visualization. — techreviewer.co, 4d ago
Data ingestion and storage are fundamental tasks for all machine learning applications. This involves extracting information from relational databases, CRMs, ERPs, social media management tools as well as... — IoT Worlds, 4d ago
Orange is a data visualization and analysis platform offering low-code and no-code development capabilities. It provides a graphical user interface (GUI) for users to drag and drop various data analysis components, such as data input, data manipulation, and data visualization tools, without coding. — Zephyrnet, 4d ago
Apply data analytics and python techniques and methodologies to uncover key business insights. — emeritus.org, 4d ago
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The characters should be created from a combination of educated guesses and data. As you gather more data the personas can develop and become more factual using offline analytics such as beacons, NFC, survey data, Google Analytics, mobile apps, live response data, and other tools. — Stova, 4d ago
AppSheet is one of the codeless app builder platforms that lets anyone without coding experience build mobile and web applications. Users can create mobile, tablet, and web applications using data sources like Google Drive, DropBox, Office 365, and other cloud-based spreadsheet and database platforms. — Digital Agency Network, 4d ago
Informatica has launched the industry’s only free cloud data loading, integration, and Extract Transform Load/Extract Load Transform (ELT/ETL) service. It’s called Informatica Cloud Data Integration-Free and PayGo and is aimed at both data practitioners and business users. The service enables users to quickly build data pipelines. — Acceleration Economy, 4d ago
Beyond new integrated data quality capabilities, erwin Data Intelligence 12.0 also delivers a new data asset discovery and collaboration experience for data governance teams and business users, making it intuitive and simple for non-technical users to organize and democratize data use. Through its new user interface, erwin Data Intelligence provides customers with dynamic content filtering, interactive mind map and data lineage visualizations, and integrated collaboration tools such as data asset ranking, to-do lists, and chat capabilities to increase the speed of asset discovery, aid data governance and raise data literacy. — Digitalisation World, 20d ago
Unify your data warehouses, ML APIs, workflow tooling, BI tools, and business apps with the DataRobot AI Platform. — DataRobot AI Platform, 6d ago
While numbers tell us accurately what is happening in the production line or in the supply chain, they don’t describe the context or give the overall picture. This is where data visualization comes in. Data visualization tools help convert complex data sets into understandable graphs and charts. The visual format can be presented to the stakeholders and decision makers who can now get a clear picture of the analyzed data and its implications. At Utthunga, we leverage Analytics, Prediction, Visualization technologies such as Tensor Flow, Azure Analytics, R / Python, Spark, Power BI, Node JS, Angular, XAML and others. Our customized data visualization solutions help companies get more from their analytics processes. — Utthunga, 4w ago
Snowflake sells data analysis and management tools that run on cloud computing platforms like Amazon Web Services, part of it... — newsbeezer.com, 17d ago
Built with MongoSQL, a SQL-92 compatible dialect optimized for the document data model, analysts can use custom SQL commands and native BI tool features to control their data visualization directly from their analytics dashboards; the Atlas SQL Interface, Connectors, and Drivers eliminate the need for data replication and ETL, preserving the richness of the document model while facilitating faster time to insights on live application data. — theregister.com, 5d ago
Virtualitics is shaping the data exploration industry with its groundbreaking technology, Intelligent Exploration. Traditional data exploration tools like BI solutions have limited capabilities in identifying and visualizing intricate data relationships, while open-source solutions demand scarce technical expertise. However, with AI-driven data exploration and 3D visualizations, Virtualitics empowers business analysts to delve deeper into their data, pinpoint patterns and trends, and make informed strategic decisions. — pasadenanow.com, 14d ago
Copilot incorporates large language models with your data in the Microsoft 365 apps to enhance productivity. — interestingengineering.com, 4d ago
AesirX Analytics + AesirX BIBoth technologies provide legal 1st-party web Analytics for 1st-party data insights and Business Intelligence for any organization across multiple platforms and devices. AesirX Analytics and BI come with a locally hosted JavaScript solution that collects and stores data in-country legally and compliantly. — Concordium, 4d ago
...the power of next-generation AI to its workplace tools with Microsoft 365 Copilot. This is in the testing phase with select commercial customers, Copilot brings the power of large language models with business data and the Microsoft 365 apps to increase creativity, unlock productivity and uplevel skills. — Financial Buzz | The Latest Buzz in Financial News Online, 5d ago
SAP also entered into strategic partnerships with data and AI companies–Confluent Inc., Databricks Inc., Collibra NV, and DataRobot Inc.–to enrich SAP Datasphere and allow organisations to create a unified data architecture that securely combines SAP software data and non-SAP data. — YourStory.com, 5d ago
The SAP partnership will help enterprises to leverage business data from SAP HANA Cloud and other third-party data sources to build custom machine learning models in DataRobot and embed them into SAP application stack. — Geospatial World, 4d ago
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Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture and ACID compliance. Neo4j's community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies and NGOs. Visit... — prnewswire.co.uk, 6d ago
..., which was a data integration hub. It capitalizes on the business semantic layer, which was what originally set apart SAP Data Warehouse Cloud from other cloud data warehousing services. Atop the existing combined technology stack, Datasphere adds a data catalog for data discovery along with new data quality, data pipeline orchestration, and data modeling capabilities. The result is a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization. — SiliconANGLE, 12d ago
...announced the SAP Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape. SAP Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. SAP also introduced strategic partnerships with industry-leading data and AI companies – Collibra NV, Confluent, Databricks, and DataRobot – to enrich SAP Datasphere and allow organizations to create a unified data architecture that securely combines SAP and non-SAP data. — RTInsights, 8d ago