Data Architecture
IQVIA | September 18, 2023
Snowflake recognizes IQVIA as a Global Healthcare Leader in the Measurement and Attribution category as part of its annual Modern Marketing Data Stack awards.
The Modern Marketing Data Stack report comprehensively analyzes data tools, applications, technologies, and processes in marketing data stacks.
Orchestrated Analytics GM Tanveer Nasir expressed his gratitude for the recognition and emphasized the company's commitment to improving brand performance and patient lives through data-driven insights and solutions.
Snowflake, a leading data cloud platform, has recognized IQVIA as a Global Healthcare Leader in the prestigious Measurement and Attribution category. This recognition comes as part of Snowflake's annual Modern Marketing Data Stack awards.
The Modern Marketing Data Stack report is the outcome of a comprehensive year-long analysis focusing on data tools, applications, technologies, and processes employed by organizations in their marketing data stacks. This exhaustive assessment, encompassing approximately 8,100 Snowflake customers, employs a weighted scoring algorithm to discern "marketplace leaders" across diverse data-driven business functions and technology categories.
The report underscores IQVIA's proficiency in aiding healthcare and life sciences organizations in the compliant utilization of extensive data resources. This enables swift and precise measurement and reporting, ultimately leading to actionable insights that facilitate informed decision-making and the formulation of effective sales and marketing strategies.
In recent years, life sciences firms have significantly increased their investments in business intelligence (BI) solutions to enhance their competitiveness and performance. However, this growth has also brought forth challenges, such as analytics failing to address essential business questions, the absence of a "single source of truth" for dependable insights, and the inability to prioritize personalized prescriptive insights.
IQVIA's Orchestrated Analytics platform has emerged as a preeminent solution in the industry due to its comprehensive consulting and change management approach. This approach guarantees that solutions align with specific business requirements, irrespective of the market while minimizing initial investment risks. Furthermore, the platform offers an array of self-service applications empowering business stakeholders to customize insights and extract reliable and actionable intelligence.
An exceptional feature of IQVIA's Orchestrated Analytics is its extensive library of algorithms, featuring over 200 algorithms and a multitude of Key Performance Indicators (KPIs) exceeding 400, all aimed at elevating commercial impact through personalized insights for each user. The platform's user-friendly interface is complemented by embedded smart assistants, ensuring effortless access to personalized intelligence across a spectrum of business intelligence tools.
IQVIA's global presence is another hallmark, with a team of over 86,000 experts operating in more than 100 countries. This expansive network accelerates the commercial impact of life sciences companies by furnishing market-relevant insights. In addition, Orchestrated Analytics is entrusted by seven out of the top ten pharmaceutical companies worldwide as they expand their brand portfolios.
Tanveer Nasir, General Manager, Orchestrated Analytics, commented
We are honored to be selected by Snowflake as the global leader in Measurement and Attribution in their Modern Marketing Data Stack report.
[Source: IQVIA]
He further explains that their insight recommendations and user adoption framework worked together effectively to enhance the sales force's efficiency and increase productivity. They had exhibited a significant ROI just by demonstrating Rx uplift for a top 10 pharmaceutical brand. Nasir conveyed that their commitment to enhancing brand performance and improving patients' lives worldwide by identifying the right customer at the right time through the correct channel and messaging continues to drive their passion.
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Business Intelligence, Big Data
Business Wire | August 24, 2023
Global retail specialists Smollan have formalised an international reseller and implementation partnership agreement with next-generation decision and business intelligence (BI) software provider Pyramid Analytics. The agreement will see Smollan, via its data and technology business, DataOrbis, expanding its current service offering to include the ability to both sell Pyramid Analytics licenses and implement Pyramid Analytics software.
“Our clients operate in incredibly competitive industries, where the ability to make the best decision, quickly is the key to strong performance. Our hunt for a BI solution that delivers superior functionality, excellent value, and next-generation capability led us to Pyramid Analytics. We migrated the majority of our DataOrbis solutions onto their software last year, and already our clients are noticing a step-change in how we can help them capitalise on the explosive amount of data they have at their fingertips,” said James Collett, Smollan’s Chief Executive: Data & Technology.
The Pyramid Analytics partnership also provides DataOrbis with a growth opportunity geared at expanding DataOrbis’ services and footprint into verticals outside of the fast-moving consumer goods (FMCG) space where they have traditionally played. This is further supported by DataOrbis and Smollan’s global footprint, which includes operations in all major gateways.
“DataOrbis has an excellent understanding of what it takes to implement a successful data strategy across an organisation, regardless of industry. We are incredibly excited to be partnering with them internationally. By leveraging their global presence throughout their client and partner networks, I believe DataOrbis, together with Pyramid Analytics, can streamline and optimise their data analytics ecosystems to prepare them for what’s next. We are thrilled to have them on board,” said Omri Kohl, Pyramid Analytics CEO.
The Pyramid Platform consistently receives top ratings among leading analyst firms that evaluate business intelligence and analytics technologies. Most recently, Pyramid earned top rankings from Gartner in the 2023 Critical Capabilities for Analytics and Business Intelligence Platforms report, including #1 for Business Analyst Use Case, #1 for Augmented Consumer Use Case, #2 for Data Scientist Use Case, and #4 for Analytics Developer Use Case.
The Pyramid Platform consolidates data preparation, business analytics, and data science into a single, integrated, self-service platform that can be accessed by all levels of data users.
Implementation is key to success
As the need to unlock the power of data has accelerated, businesses are realising the benefit of having one enterprise BI platform across the organisation, ensuring a single source of truth that can be safely, securely, and ethically managed. As an early adopter, DataOrbis has invested in creating and upskilling several Pyramid Analytics’ implementation teams working out of South Africa, India, and Slovenia to assist clients in creating and implementing their own unique global views. These teams, with over 50 certified Pyramid Analytics specialists, include senior resources with expertise across industries and geographies.
“The choice of BI platform is one part of the insights puzzle. The skill and time needed to implement the software is the next piece. In our experience, most companies don’t have these two vital resources readily available. By partnering with DataOrbis we can ensure the Pyramid Analytics software is expertly implemented and used to its fullest potential—all based on global best-practises. I am excited by the opportunities the Pyramid Analytics partnership will unlock for us and our clients,” said Collett.
About Pyramid Analytics
Pyramid Analytics is the next generation of business analytics. The award-winning Pyramid Decision Intelligence Platform empowers people with augmented, automated, and collaborative insights that simplify and guide the use of data in decision-making. Critically, the Pyramid Analytics Platform operates directly on any data, enabling governed self-service for any person, and meeting analytical needs in a no-code environment without data extraction. It combines data prep, business analytics, and data science into one frictionless platform to empower anyone with intelligent decision-making. This enables a strategic, enterprise-wide approach to business intelligence and analytics, from the simple to the sophisticated. Schedule a demo. To find out more about Pyramid Analytics contact pr@pyramidanalytics.com.
About Smollan
Founded in 1931, Smollan is a global commerce business, delivering growth for retailers and brand owners across five continents. Influencing what, when, where and shoppers browse and buy across multiple touchpoints, through Sales & Merchandising, Activation & Experience, Data & Technology and Digital Commerce. Internationally recognised for our exceptional human platform of over 75 000 people and our sophisticated systems, we drive sales and create brilliant shopper experiences for some of the world’s most loved brands. We are a global business that helps retailers and brands win at the point of purchase. Contact us at www.smollan.com.
About DataOrbis
A leading data and technology company, DataOrbis uses its SMART ecosystem of services, solutions and technology to expertly help companies transform into businesses driven by data. With over 50 blue-chip clients, DataOrbis currently processes over 300 sources of data across 60+ countries in multiple languages. In 2020, DataOrbis joined forces with global retail specialist Smollan, increasing its ability to scale, expand and network globally.
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Data Visualization
Salesforce | September 14, 2023
Salesforce introduces the groundbreaking Einstein 1 Platform, built on a robust metadata framework.
The Einstein 1 Data Cloud supports large-scale data and high-speed automation, unifying customer data, enterprise content, and more.
The latest iteration of Einstein includes Einstein Copilot and Einstein Copilot Studio.
On September 12, 2023, Salesforce unveiled the Einstein 1 Platform, introducing significant enhancements to the Salesforce Data Cloud and Einstein AI capabilities. The platform is built on Salesforce's underlying metadata framework. Einstein 1 is a reliable AI platform for customer-centric companies that empowers organizations to securely connect diverse datasets, enabling the creation of AI-driven applications using low-code development and the delivery of entirely novel CRM experiences.
Salesforce's original metadata framework plays a crucial role in helping companies organize and comprehend data across various Salesforce applications. This is like establishing a common language to facilitate communication among different applications built on the core platform. It then maps data from disparate systems to the Salesforce metadata framework, thus creating a unified view of enterprise data. This approach allows organizations to tailor user experiences and leverage data for various purposes using low-code platform services, including Einstein for AI predictions and content generation, Flow for automation, and Lightning for user interfaces. Importantly, these customizations are readily accessible to other core applications within the organization, eliminating the need for costly and fragile integration code.
In today's business landscape, customer data is exceedingly fragmented. On average, companies employ a staggering 1,061 different applications, yet only 29% of them are integrated. The complexity of enterprise data systems has increased, and previous computing revolutions, such as cloud computing, social media, and mobile technologies, have generated isolated pockets of customer data.
Furthermore, Salesforce ensures automatic upgrades three times a year, with the metadata framework safeguarding integrations, customizations, and security models from disruptions. This enables organizations to seamlessly incorporate, expand, and evolve their use of Salesforce as the platform evolves.
The Einstein 1 Data Cloud, which supports large-scale data and high-speed automation, paves the way for a new era of data-driven AI applications. This real-time hyperscale data engine combines and harmonizes customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data, culminating in a unified customer view. Currently, the platform is already processing a staggering 30 trillion transactions per month and connecting and unifying 100 billion records daily. The Data Cloud is now natively integrated with the Einstein 1 Platform, and this integration unlocks previously isolated data sources, enabling the creation of comprehensive customer profiles and the delivery of entirely fresh CRM experiences.
The Einstein 1 Platform has been expanded to support thousands of metadata-enabled objects per customer, each able to manage trillions of rows. Furthermore, Marketing Cloud and Commerce Cloud, which joined Salesforce's Customer 360 portfolio through acquisitions, have been reengineered onto the Einstein 1 Platform.
Now, massive volumes of data from external systems can be seamlessly integrated into the platform and transformed into actionable Salesforce objects. Automation at scale is achieved by triggering flows in response to changes in any object, even events from IoT devices or AI predictions, at a rate of up to 20,000 events per second. These flows can interact with any enterprise system, including legacy systems, through MuleSoft.
Analytics also benefit from this scalability, as Salesforce provides a range of insights and analytics solutions, including reports and dashboards, Tableau, CRM analytics, and Marketing Cloud reports. With the Einstein 1 Platform's common metadata schema and access model, these solutions can operate on the same data at scale, delivering valuable insights for various use cases.
Salesforce has additionally made Data Cloud accessible at no cost to every customer with Enterprise Edition or higher. This allows customers to commence data ingestion, harmonization, and exploration, leveraging Data Cloud and Tableau to extend the influence of their data across all business segments and kickstart their AI journey.
Salesforce's latest iteration of Einstein introduces a conversational AI assistant to every CRM application and customer experience. This includes:
Einstein Copilot: This is an out-of-the-box conversational AI assistant integrated into every Salesforce application's user experience. Einstein Copilot enhances productivity by assisting users within their workflow, enabling natural language inquiries, and providing pertinent, trustworthy responses grounded in proprietary company data from the Data Cloud. Furthermore, Einstein Copilot proactively takes action and offers additional options beyond the user's query.
Einstein Copilot Studio: This feature enables companies to create a new generation of AI-powered apps with custom prompts, skills, and AI models. This can help accelerate sales processes, streamline customer service, auto-generate websites based on personalized browsing history, or transform natural language prompts into code. Einstein Copilot Studio offers configurability to make Einstein Copilot available across consumer-facing channels such as websites and messaging platforms like Slack, WhatsApp, or SMS.
Both Einstein Copilot and Einstein Copilot Studio operate within the secure Einstein Trust Layer, an AI architecture seamlessly integrated into the Einstein 1 Platform. This architecture ensures that teams can leverage generative AI while maintaining stringent data privacy and security standards.
The metadata framework within the Einstein 1 Platform expedites AI adoption by providing a flexible, dynamic, and context-rich environment for machine learning algorithms. Metadata describes the structure, relationships, and behaviors of data within the system, allowing AI models to better grasp the context of customer interactions, business processes, and interaction outcomes. This understanding enables fine-tuning of large language models over time, delivering continually improved results.
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