BIG DATA MANAGEMENT

Data Dynamics Launches Insight AnalytiX 1.4

Data Dynamics | March 03, 2022

Data Dynamics
The Unified Unstructured Data Management Leader, Data Dynamics, today announced the launch of Insight AnalytiX 1.4, which is focused on increasing the Data Protection and Security Functionalities of the product. To assist enterprises to assure higher precision in PII/sensitive data discovery and updated remediation capabilities, the upgrade provides flexible and scalable data discovery, deep analytics, and decreased data exposure.

Every year, cybersecurity practitioners confront new problems because of several variables. Attacks by threat actors and the ever-evolving architecture of IT infrastructure, including cloud migration, in addition to external impacts like the pandemic, are all considerations to be considered. As a consequence of the increase and evolution of cyber-attacks, every company is more focused on safeguarding business-critical and personal data.

Insight AnalytiX 1.4 has a number of new features that make it an outstanding tool for identifying and mitigating risks. Users may now create a Data Insight report on a dataset utilizing complex multi-level logical expressions and a mix of logical operators in the newest edition of Insight AnalytiX. It decreases the likelihood of sensitive personal data being overlooked, assuring the most significant level of data discovery accuracy. Deep analytics, both descriptive and diagnostic, are used in the report to enable businesses to gain a clear picture of the risk they face and a simple way to quantify it.

"The latest upgrade in Insight Analytix builds a strong data security shield using scalable and flexible data discovery application and deep analytics. The upgraded risk identification and remediation workflow will certainly help enterprises protect their sensitive data from growing cyber threats."

Helen Johnson, CTO of Data Dynamics

When combined with Data Dynamics' unified data management platform, Insight AnalytiX 1.4 can help businesses unleash end-to-end data management features, including Data Analytics, Data Mobility, Data Security, and Data Compliance.

Spotlight

With roots dating back almost four decades ago, Business Intelligence (BI) software began with a fairly consistent profile of solution providers and users. Corporate IT was the dominant solution provider. BI insights were powered by data warehouses and IT-based developers performed all of the heavy lifting associated with data modeling and report development. Users, primarily finance and accounting department managers, anxiously awaited their batch reports. Thrilled by these early insights, the IT teams steering the BI ship could do no wrong. BI infrastructure and programs always costed at least a million dollars and large enterprises were the only companies who could afford the dedicated staff required to operate these early versions of business insight software.

Spotlight

With roots dating back almost four decades ago, Business Intelligence (BI) software began with a fairly consistent profile of solution providers and users. Corporate IT was the dominant solution provider. BI insights were powered by data warehouses and IT-based developers performed all of the heavy lifting associated with data modeling and report development. Users, primarily finance and accounting department managers, anxiously awaited their batch reports. Thrilled by these early insights, the IT teams steering the BI ship could do no wrong. BI infrastructure and programs always costed at least a million dollars and large enterprises were the only companies who could afford the dedicated staff required to operate these early versions of business insight software.

Related News

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Makersite Announces Sustainability Analytics Partnership With Autodesk

Makersite | September 28, 2022

Makersite, a world leader in bringing sustainability and cost insights into the early stage design process for the world’s leading brands, today announced partnering with Autodesk, the leader in product design software. The new partnership combines Makersite’s environmental impact and cost data with Autodesk Fusion 360’s product design data. Sustainability begins at the heart of the product: its design phase. Still, less than 1% of products have sustainability as a design parameter. Even though the general public’s wish for sustainable products grows and emission regulations worldwide are becoming more and more, incorporating sustainability at the design level has been a challenge for most product designers in the past. Makersite’s partnership with Autodesk is changing this. The new Fusion 360 plug-in features: Allows designers to have Makersite instantly calculate the environmental and cost impacts of their design at the push of a button Gives Fusion 360 users access to over 300 materials, cost, and sustainability insights based on the used structure, materials, and weight Provides enhanced data sets on over 50 decision criteria such as compliance, risk, health, and safety in real-time With this ground-breaking approach, product designers will no longer depend on experts or consultancies to design sustainable products. Instead, enterprise manufacturers will be able to use their own material masters and procurement data to enable teams to work toward sustainability goals led by design. This integration will enable more sustainable and successful designs, eliminate duplicative efforts and decrease time to market. “The stats tell us that 80% of the ecological impacts of a product are locked down in the design phase. Therefore, the design phase of a product is the first and most necessary stage to get more sustainable goods into the world successfully,” shares Neil D’Souza, founder of Makersite. “However, eco-design is only feasible when designers have data about the sustainability of their product and its compliance, costing, environmental, health, and safety criteria. By integrating our data, AI, and calculation engines into Fusion, product designers are provided with clear and actionable insights so they can decide how to make their designs more sustainable,” D’Souza concludes. “It’s Autodesk’s intent to make designing for sustainability easily accessible, and ultimately intuitive, to product designers,” said Zoé Bezpalko, Autodesk Senior Design and Manufacturing Sustainability Manager. “By partnering with Makersite, we’ve created a holistic workflow within Fusion that provides insights into sustainable design directly within the design environment. Data-driven analysis from Makersite will enable manufacturers to make better decisions about creating safer, more sustainable products,” she said. “Companies are setting ambitious sustainability goals at high levels, sometimes as required by policy, but increasingly due to customer demand and as a source of competitive differentiation. The data that drives achieving those goals are often in disparate systems throughout the organization,” said Stephen Hooper, Autodesk Vice President & General Manager, Fusion 360. “We’re connecting relevant LCA data to the Fusion design workspace to help manufacturers meet their important sustainability goals,” said Hooper. Autodesk will hold its premier annual conference for product designers and manufacturers, Autodesk University, in New Orleans September 27-29, 2022. Makersite will take the stage with Zoé Bezpalko to present the plug-in to attendees during the conference. About Makersite Makersite's SaaS platform delivers enterprise digital twins to enable change in complex business environments. By intelligently mapping customers' product data via AI with live data from 140+ supply chain databases, Makersite instantly delivers deep-tier supply chain twins with 90%+ accuracy. Customers can assess the digital product twins across 30+ business criteria such as risk, sustainability, compliance, and cost. The platform has many applications, helping global enterprises build resilient supply chains, accelerate product innovation, and achieve NetZero.

Read More

BIG DATA MANAGEMENT`

MOSTLY AI Opens up Its Synthetic Data Platform to Revolutionize Software Testing for Mid-market Companies

MOSTLY AI | July 06, 2022

MOSTLY AI, who pioneered the creation of AI-generated synthetic data, has today launched new editions of its platform, for mid-market businesses wanting to speed up test data generation through automation, and better support agile processes. By experimenting with the free edition of the platform, test engineers, QA leads, and test automation experts can see for themselves how the pioneering platform easily and automatically synthesizes complex data structures. Boosting efficiency is coupled with the benefit of generating high quality test data for QA - a critical need for businesses that are required to deliver customer experiences that are increasingly personal and relevant. “Scaled synthetic datasets generated through our platform offer absolute protection of customer data, with zero risk of re-identification and therefore full compliance with data privacy laws such as GDPR. What’s more is that the datasets preserve granular behavioral insights embedded in the production data “This is of course valuable for innovative companies focused on accelerating the agile delivery of robust software applications that enhance customer experience.” Dr. Tobias Hann, CEO at MOSTLY AI For tests, such as load and performance testing, MOSTLY AI’s platform completely removes the need to use production data or manually created dummy data, which is what the majority of testers are still using now. Apart from clear privacy issues that come with doing it this way, it’s a massive time thief with a huge chunk of the average tester’s time being spent waiting for test data, looking for it, or creating it manually. “Our research over the past months confirms this risky habit of testers using production or dummy data,” says Hann, adding, “and coupled with the fact that 20% of test data will be synthetically generated by 2025, it’s the right time for us to bring AI-generated synthetic data to the mid-market and be instrumental in reaching the synthetic-data tipping point we know is on the horizon.” AI-generated synthetic data is not mock data or fake data. It’s not generated manually - as it was ten years ago - but by a powerful AI engine that is capable of learning all the qualities of the dataset on which it is trained. Using the MOSTLY AI platform, testers don’t need to manually configure business rules anymore, plus it enables them to create as little data or as much data as they need - generating small, manageable and referentially intact subsets of data to speed up cycles and reduce storage sizes or upscale small datasets to massive sizes for stress testing applications. “Mid-market companies have an advantage over larger corporations - they can adopt and roll out new tech quickly without the red tape that often makes this a drawn-out process. Adopting AI-generated synthetic data for testing is a win-win situation – for testers who get to work smarter and faster, and for businesses wanting to innovate and deliver the best in customer experience,” concludes Hann.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

UiPath Partners with Snowflake to Launch Data Integration on the Data Cloud

UiPath | September 08, 2022

UiPath , a leading enterprise automation software company, today announced it has strengthened its partnership with Snowflake, the Data Cloud company, by launching a new bi-directional integration that will extend the value of automation across the enterprise. UiPath and Snowflake are enabling joint customers to design and build workflows based on 360-degree views of trusted and accessible data on Snowflake’s platform. By leveraging the Snowflake Data Cloud, UiPath robots can quickly connect data directly to business processes in the Data Cloud without using complex code, speeding up time to value. Automation is helping organizations around the world become faster and more agile in the face of increased demand and rapidly changing environments. The UiPath end-to-end platform provides robotic process automation (RPA) at its core, removing manual work so users can focus on what matters most. In fact, IDC projects that by 2025, RPA-driven economic benefits from revenues will almost equal economic benefits from cost savings and operational efficiencies.* With this expanded integration, UiPath and Snowflake will continue to enable customers to accelerate digital transformation and simplify the automation of data pipelines for data-driven decision making. “The partnership between UiPath represents customers’ needs for both data and business processes that should be fast, frictionless, and automated. “As demand for automation on data increases, partnerships with organizations, such as UiPath, help Snowflake serve our joint customers globally and support our mission of mobilizing the world’s data.” Tarik Dwiek, Head of Technology Alliances at Snowflake Automate the data pipeline: With the ability to both retrieve and push data in and out of the Snowflake Data Cloud, UiPath can orchestrate and automate data pipelines creating workflows that deliver increased quality, access, analytics, and business insights for data-driven decision making. Broaden workflows with data from multiple sources: By incorporating Snowflake query activities such as ‘native search’, RPA developers can quickly access the data they need from Snowflake to create decision logic for building better workflows and use cases across multiple lines-of-businesses. Enrich their data: Combined with the UiPath ability to bring together both UI and API automation, this allows UiPath customers to quickly unlock and access the data necessary to maximize their automations with the data quality they require.a “We believe that accessing reliable and trusted data from the Snowflake Data Cloud is key to delivering a fully automated enterprise,” said Dhruv Asher, SVP of Business Development and Product Alliances at UiPath. “With this new integration, UiPath and Snowflake collaborate to seamlessly centralize valuable data that is locked away in data silos, documents, legacy systems, and other hard to reach places. This enables our joint customers to find new insights, unlock new opportunities, and drive innovation with more of the data they already have.” As part of today's announcement, UiPath is now recognized as a Snowflake Technology Partner within the Snowflake Partner Program. * IDC Thought Leadership White Paper, sponsored by UiPath, “The Economic Impact of UiPath Robotic Process Automation,” Doc. #US47905721, September 2021 About UiPath UiPath has a vision to deliver the Fully Automated Enterprise™, one where companies use automation to unlock their greatest potential. UiPath offers an end-to-end platform for automation, combining the leading Robotic Process Automation (RPA) solution with a full suite of capabilities that enable every organization to rapidly scale digital business operations.

Read More