Big Data Management
Bloomberg | November 06, 2023
Bloomberg and Google Cloud integrate Data License Plus (DL+) with BigQuery for efficient data access and analytics.
Customers can access fully modeled data within BigQuery, eliminating data preparation time.
Mackenzie Investments adopts DL+ ESG Manager to host the acquisition, management, and publishing of Multi-vendor ESG data.
Bloomberg has unveiled a new offering designed to accelerate the data strategies of Google Cloud customers by integrating Bloomberg's cloud-based data management solution, Data License Plus (DL+), with Google Cloud's fully managed, serverless data warehouse, BigQuery.
Now, with access to Bloomberg's extensive experience modeling, managing, and delivering vast quantities of complex content, mutual customers can receive their Bloomberg Data License (DL) data, entirely modeled and seamlessly combined within BigQuery. As a result, organizations can leverage the advanced analytics capabilities of Google Cloud to extract more value from critical business information quickly and efficiently with minimal data wrangling.
Through this extended collaboration, customers can harness the powerful analytics features of BigQuery and tap into Bloomberg's extensive collection of datasets available through Data License to power their most essential workloads. Bloomberg's Data License content offers a wide variety, including reference, pricing, ESG, regulatory, estimates, fundamentals, and historical data, supporting operational, quantitative, and investment research workflows, covering over 70 million securities and 40,000 data fields.
Key benefits include:
Direct Access to Bloomberg Data in BigQuery: Bloomberg customers can seamlessly access Bloomberg Data License content within BigQuery, allowing for scalable use across their organization. This eliminates the time-consuming tasks of ingesting and structuring third-party datasets, thereby accelerating the time-to-value for analytics projects.
Elimination of Data Barriers: Google Cloud and Bloomberg will make Bloomberg's DL+ solution available to mutual customers via BigQuery. This allows for the delivery of fully modeled Bloomberg data and multi-vendor ESG content within their analytics workloads.
In a recent announcement, Bloomberg revealed that Mackenzie Investments has selected DL+ ESG Manager to host the acquisition, management, and publishing of multi-vendor ESG data. This move positions Mackenzie Investments to implement ESG investing strategies more efficiently and develop sophisticated ESG-focused insights and investment products, with BigQuery playing a central role in powering these analytics workloads moving forward.
Don Huff, the Global Head of Client Services and Operations at Bloomberg Data Management Services, stated that as capital markets firms are in the process of migrating their workloads to the Cloud, their customers require efficient access to high-quality data in a preferred environment. He expressed excitement about extending their partnership with Google Cloud, aiming to stay at the forefront of innovation in financial data management and to enhance their customers' enterprise analytics capabilities.
Stephen Orban, the VP of Migrations, ISVs, and Marketplace at Google Cloud, stated that Google Cloud and Bloomberg share a common commitment to empowering customers making data-driven decisions to power their businesses. He mentioned that the expanded alliance between the two companies would allow customers to effortlessly integrate Bloomberg's leading datasets with their own data within BigQuery. This would simplify the process of conducting analytics with valuable insights related to financial markets, regulations, ESG, and other critical business information.
Business Wire | October 23, 2023
NICE (Nasdaq: NICE) today announced that NEVA Discover, its process analytics and task mining offering, has been recognized as a ‘Leader’ in Everest Group's Task Mining Products PEAK Matrix Assessment 2023 out of 19 task mining providers evaluated. NEVA Discover utilizes its rich desktop data collection and desktop analytics to pinpoint areas for employee improvement and optimize performance. Leaders were recognized for strong growth momentum in the task mining market and the ability to continue to differentiate by offering innovative features.
NEVA Discover offers a scientific approach to scaling task mining capabilities, allowing CX organizations to take employees’ performances to a new level and ground business decisions on rich processes and interaction data. Utilizing NEVA Discover’s desktop analytics, organizations can drive employee performance improvements by developing and engaging employees with proactive, personalized coaching using actionable data. The report noted that NEVA Discover “helps users to discover best practices by combining the captured data with additional metrics, such as interaction data, employee data, and interaction outcomes, leveraging the power of the CXone Platform.” The report also noted that clients appreciated NEVA Discover’s ease of use as well as key areas of strength including the power of its task discovery and handling capabilities as well as quick adaptation to the product.
“NICE has reinforced its position as a Leader on Everest Group’s Task Mining Products PEAK Matrix 2023, underpinned by its strong vision, depth and breadth of product functionalities, focus on product support, and integration with its automation capabilities,” said Amardeep Modi, Vice President at Everest Group. “Discovery capabilities, ease of maintenance, and data security are some of the key strengths indicated by its clients.”
Barry Cooper, President, CX Division, NICE, said, We are pleased to be recognized as a Leader in this assessment, demonstrating NICE’s excellence in Task Mining. As CX organizations continue to struggle with employee retention, NICE’s NEVA Discover enables organizations to provide objective, targeted coaching to empower employees and make them even more effective. With our ongoing investments in Enlighten AI, NICE will continue its momentum as a market leader in Task Mining.
This recognition adds to NICE’s past accomplishments in this space. NICE was recognized as a ‘Leader’ in Everest Group's Task Mining Products PEAK Matrix Assessment 2022. NICE was also named a ‘Leader’ in Everest Group’s Robotic Process Automation (RPA) PEAK Matrix Assessment 2022.
Big Data Management
Google | September 05, 2023
Google has recently unveiled BigQuery Studio, a new service within BigQuery, its fully managed serverless data warehouse, that offers a unified platform for editing various programming languages, including SQL, Python, and Spark, facilitating the execution of analytics and machine learning tasks on a massive 'petabyte scale.'
BigQuery Studio has been meticulously crafted to empower users in their data journey, enabling them to seamlessly discover, explore, analyze, and forecast data. Users can begin with a programming notebook to validate and prepare data, then open that notebook in other services such as Vertex AI, Google's managed machine learning platform. This transition enables users to continue their work with more specialized AI infrastructure and tooling.
Organizations increasingly recognize the inherent value of mining their data for deeper insights into today's business landscape. According to a survey conducted by NewVantage, a staggering 97.6% of major global organizations are channeling investments into big data and AI initiatives. However, significant challenges often impede the execution of comprehensive big data analytics. Notably, a recent poll revealed that 65% of organizations contend with the daunting task of dealing with an overwhelming volume of data.
BigQuery Studio emerges as a solution to these challenges by offering teams direct access to data within their preferred working environments. Moreover, it includes added controls for 'enterprise-level' governance, regulation, and compliance.
BigQuery Studio aligns with Google's overarching strategy of driving organizations toward AI adoption in the cloud. As worldwide spending on public cloud services is projected to surge by approximately 21%, reaching approximately $592 billion this year, according to estimates, Google is steadfast in its commitment to securing a substantial share of this expenditure alongside its competitors.
This strategic approach is well-informed, as per Gartner's predictions that AI will continue to be a dominant workload influencing IT infrastructure decisions throughout 2023. Furthermore, market research firm Tractica forecasts that AI could account for up to 50% of total public cloud services revenue by 2025. This highlights the immense potential and significance of Google's BigQuery Studio in a rapidly evolving technological landscape.