Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
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JiminnyJiminny stands out as a premier Conversation Intelligence platform that captures and evaluates vital market insights through video, voice, and email communication. Utilizing advanced AI technology, it streamlines data entry into CRM systems, thus freeing up valuable time for your team and enhancing overall productivity. This allows revenue teams to concentrate on smarter selling techniques, leading to accelerated growth and a higher number of closed deals. The platform features an intuitive design and provides actionable insights, enabling managers to successfully nurture their teams while allowing executives to make informed, data-backed decisions with confidence. Users experience tangible ROI within just six months, thanks to a smooth onboarding process and an easy-to-navigate interface. By harnessing Jiminny's capabilities, your business can turn conversation intelligence into a significant catalyst for revenue advancement and long-term success.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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finAPIfinAPI is a dependable and intuitive platform designed to create smooth connections among businesses, financial institutions, and individual users. Our open banking API allows organizations to access and analyze account data while also enabling payments on behalf of their clients. Moreover, we offer crucial assistance to banks and financial service providers through an XS2A server, ensuring adherence to the PSD2 directive for third-party providers. With its inherent flexibility and adaptability, finAPI stands ready to meet emerging challenges head-on. We aid in the creation of innovative financial services that deliver substantial advantages for both your business and your customers. By enhancing data accessibility, we encourage innovation and significantly streamline workflows. finAPI's sophisticated data intelligence modules provide comprehensive financial data analysis, covering aspects like categorization, cash flow insights, risk evaluations, and contract recognition. The incorporation of data enrichment, artificial intelligence, and machine learning methodologies guarantees unmatched data quality and optimal results, setting the stage for future innovations within the financial industry. Our dedication to ongoing enhancement establishes finAPI as an essential ally in effectively navigating the dynamic finance landscape, ensuring that we stay ahead of the curve in this rapidly changing environment.
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Google AI StudioGoogle AI Studio serves as an intuitive, web-based platform that simplifies the process of engaging with advanced AI technologies. It functions as an essential gateway for anyone looking to delve into the forefront of AI advancements, transforming intricate workflows into manageable tasks suitable for developers with varying expertise. The platform grants effortless access to Google's sophisticated Gemini AI models, fostering an environment ripe for collaboration and innovation in the creation of next-generation applications. Equipped with tools that enhance prompt creation and model interaction, developers are empowered to swiftly refine and integrate sophisticated AI features into their work. Its versatility ensures that a broad spectrum of use cases and AI solutions can be explored without being hindered by technical challenges. Additionally, Google AI Studio transcends mere experimentation by promoting a thorough understanding of model dynamics, enabling users to optimize and elevate AI effectiveness. By offering a holistic suite of capabilities, this platform not only unlocks the vast potential of AI but also drives progress and boosts productivity across diverse sectors by simplifying the development process. Ultimately, it allows users to concentrate on crafting meaningful solutions, accelerating their journey from concept to execution.
What is Riveter?
Riveter is a cutting-edge data enrichment platform that utilizes AI to refine large data sets through intelligent prompts and labeling, enabling users to enhance thousands of data entries within just minutes, similar to the functionalities of ChatGPT. By optimizing the data analysis workflow, Riveter eliminates the requirement for manual processes, automating vital tasks such as competitive analysis, pricing assessments, and customer insights collection, all without needing engineering support. Users can easily upload any CSV file and tap into natural language prompts to enrich their data with relevant web searches while simultaneously cleaning, organizing, and analyzing information on a grand scale. Supported by Y Combinator, Riveter has earned the trust of growth-oriented companies like Gusto, aiding them in accelerating their strategic decision-making processes with comprehensive market insights and analysis. Founded by Abigail Grills and Erica Clark, the platform is dedicated to helping organizations make faster and more informed strategic decisions. Particularly beneficial for teams that concentrate on product development, operations, and market launch strategies, Riveter enables them to save considerable time—sometimes even days—by automating their data workflows in just minutes. With Riveter, businesses can leverage the advantages of AI to revolutionize their methods of data management and analytical processes, ultimately leading to enhanced productivity and more effective outcomes.
What is Oracle Analytics Cloud?
Oracle Analytics serves as an all-encompassing platform tailored for various analytics user roles, incorporating AI and machine learning throughout to enhance productivity and facilitate more informed business decisions. You can choose between Oracle Analytics Cloud, our cloud-based service, or Oracle Analytics Server, our solution for on-premises deployment, both of which guarantee strong security and governance features without sacrificing quality. This versatility allows organizations to select the deployment method that best suits their needs while maintaining essential data protection standards.
Integrations Supported
Accountagility ORYX
ChatGPT
DataTerrain
Datagaps ETL Validator
Google Sheets
Integration Eye
Kodiak Hub
Microsoft Excel
Oracle Analytics Publisher
Oracle Analytics Server
Integrations Supported
Accountagility ORYX
ChatGPT
DataTerrain
Datagaps ETL Validator
Google Sheets
Integration Eye
Kodiak Hub
Microsoft Excel
Oracle Analytics Publisher
Oracle Analytics Server
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$16 User Per Month - Oracle An
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Riveter
Company Location
United States
Company Website
www.riveterhq.com
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/business-analytics/analytics-platform/
Categories and Features
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization