In the rapidly evolving landscape of data management, businesses face the challenge of effectively storing, processing, and analysing vast amounts of data. To address this need, data platforms have emerged as a powerful solution, offering a flexible and scalable approach to data storage and analytics.
In this article, we will delve into the world of data delivery and explore the best data platform solutions available in 2023 to help businesses make informed decisions about their data management strategies. We will also shine a spotlight on Identrics’ cutting-edge data delivery platform, Kaspian, and its unique features.
To further assist you in your data platform selection process, we have prepared a 10-Point Checklist to Data Platform Evaluation, enabling you to thoroughly assess data vendors anytime and anywhere.
How to identify the viability of data platform vendors
Understanding data platforms
Data platforms, also known as data delivery solutions, are centralised repositories that allow businesses to store, manage, and deliver large volumes of structured and unstructured data. Unlike traditional data warehouses, which require upfront data structuring, data platforms accommodate raw and unprocessed data, enabling organisations to extract insights from diverse data sources without upfront transformations.
The benefits of implementing a data platform are manifold. First and foremost, data platforms offer a scalable architecture that can accommodate massive data growth. As businesses accumulate more data from various sources, data platforms provide the infrastructure to store, process, and deliver this information seamlessly. Additionally, data platforms support the storage of both structured and unstructured data, allowing organisations to harness the full potential of their data assets.
However, it’s important to acknowledge the challenges that come with implementing a data platform solution. Data governance and data quality management can become complex, requiring organisations to establish robust processes and frameworks. Moreover, data platforms demand advanced data integration and processing capabilities to derive meaningful insights from the stored data.
To identify the best data platform solution for your business, it is crucial to consider certain characteristics and features. A robust data platform should offer high scalability, allowing businesses to seamlessly handle increasing data volumes and deliver data to various stakeholders. It should also provide efficient data integration capabilities to ingest data from multiple sources, such as databases, cloud storage, and streaming platforms. Advanced security features, including encryption and access controls, are vital to ensure the protection of sensitive data within the data platform.
In the next sections of this article, we will delve deeper into the landscape of data platform solutions, evaluate leading vendors, explore data platform as a service (DPaaS) options, and provide valuable insights to help you make an informed decision.
Evaluating data delivery platforms
Selecting the right data delivery platform is a crucial step in implementing a successful data delivery solution for your business. When evaluating the viability of data delivery providers, it’s essential to consider several key points to ensure you choose a solution that meets your specific requirements.
Here are the important factors to assess:
- Comprehensive feature set
A viable data platform vendor should offer a comprehensive feature set that aligns with your business needs. Look for vendors that provide diverse interfaces, APIs, and endpoints, enabling easy data ingestion, access, and movement. Additionally, consider whether the vendor supports seamless integration with processing and analytics layers, empowering data professionals and maximising productivity.
- Robust search and cataloguing capabilities
An effective data delivery solution should have robust search and cataloguing features. Evaluate the vendor’s ability to organise and classify data, including support for key-value storage, tagging, metadata, and subsets of information. These capabilities enhance data discoverability and enable efficient data retrieval for analysis and decision-making.
- Security and access control
Protecting your data is of utmost importance. Assess the vendor’s security measures and access control mechanisms to ensure they align with your organisation’s requirements. A reliable data delivery platform should offer strong security features to safeguard sensitive information and provide granular access controls to restrict data access to authorised personnel only.
- Scalability and flexibility
As your business grows and data volumes increase, your data platform should be able to scale seamlessly. Evaluate the vendor’s scalability options and flexibility in accommodating changing needs. A viable data platform solution should handle the growing volume, velocity, and variety of data while maintaining optimal performance and reliability.
- Vendor support and expertise
Consider the level of support and expertise provided by the data platform vendor. Evaluate the vendor’s reputation, customer reviews, and industry experience. Ensure that they offer responsive customer support and have a proven track record in assisting businesses with data platform implementations.
- Integration with existing infrastructure
Assess how well the data delivery solution integrates with your existing infrastructure and ecosystem. Compatibility with your current tools, systems, and data sources is crucial for a smooth implementation and data integration process. Ensure that the vendor provides robust integration capabilities or support for common data integration standards.
- Pricing and cost effectiveness
Finally, consider the pricing model and overall cost-effectiveness of the data platform solution. Evaluate the vendor’s pricing structure, including any additional costs for storage, data transfer, or usage. Assess the value provided by the solution in relation to its cost, and consider long-term scalability and ROI.
In the end, by thoroughly evaluating data platform vendors based on these key points, you can make an informed decision and select a viable data delivery solution that aligns with your business goals and requirements.
Data platform use cases and success stories
By leveraging a robust data platform solution supported by sources of high-quality training data, businesses have harnessed the power of their data, gained valuable insights, and driven meaningful outcomes.
To fully understand the value and potential of data platform solutions, let’s explore real-world use cases where businesses have successfully implemented data delivery platforms and achieved remarkable results. These examples span across various industries and demonstrate the versatility and effectiveness of data delivery in different contexts.
PR and media intelligence
In the PR and Media Intelligence industries, data platform solutions have become invaluable tools for monitoring brand reputation, analysing media coverage, and gaining insights into audience sentiment.
A leading media intelligence company leveraged a data delivery solution to consolidate vast amounts of news articles, social media posts, and broadcast transcripts.
By ingesting and analysing this data in a unified data platform, they were able to track and measure the sentiment towards their brand, monitor media coverage across various channels, and identify emerging trends and topics. This enabled the client to make data-driven decisions, refine their PR strategies, and proactively address any negative sentiment before it escalates.
Entertainment and streaming services
Data platform solutions have played a crucial role in the success of entertainment and streaming services by enabling personalised recommendations, content optimisation, and audience analytics.
One notable example is Spotify, a popular music streaming platform. Spotify leverages data platform solutions to store and process vast amounts of user data, including listening preferences, play history, and demographic information.
By analysing this data within a data platform, Spotify can identify user behaviour patterns, understand content preferences, and deliver personalised recommendations to individual users. This led to increased user engagement, longer listening sessions, and improved customer satisfaction. Additionally, the data platform helps them optimise content licensing and production decisions by analysing audience demographics, listening trends, and content performance.
Market research and analytics
In today’s media landscape, data collaboration and accessibility are essential for advertisers, agencies, and media companies to derive actionable insights. Data platform solutions have transformed the field of market research and analytics, enabling companies to analyse data from a wide range of sources in near real-time while ensuring data privacy.
Nielsen Holdings PLC, a global measurement and data analytics company, is a prime example of utilising data platform solutions for market research and analytics. Nielsen consolidates and analyses data from multiple sources, including surveys, consumer panels, point-of-sale data, social media platforms, and online forums.
By leveraging data insights, Nielsen gains a comprehensive understanding of consumer behaviour, preferences, and market trends. This empowers their clients, which include major brands and businesses, to make data-driven decisions, optimise marketing campaigns, and develop strategies to better target their audience.
Healthcare and healthcare communications
Data platform solutions have played a vital role in the healthcare field by enabling the analysis of patient data, improving communication strategies, and optimising healthcare outcomes. An exemplary collaboration in the healthcare industry is between Cognizant and Pfizer.
Cognizant, a multinational technology company, partnered with Pfizer, a leading pharmaceutical company, to leverage data for healthcare communications. They implemented a data platform solution to consolidate and analyse patient data from various sources, including electronic health records, clinical trials, and patient feedback. This collaboration empowered Cognizant and Pfizer to enhance patient engagement, promote treatment adherence, and drive positive healthcare outcomes.
Why data platform solutions are important
These use cases highlight the diverse applications of data delivery solutions in industries such as PR and Media Intelligence, entertainment and streaming services, market research and analytics, and healthcare communications.
By leveraging a robust data platform solution, businesses in these industries can harness the power of their data, gain valuable insights, and drive meaningful outcomes. Whether it’s monitoring brand reputation, personalising content recommendations, making data-driven marketing decisions, or improving patient communication, data delivery platforms have proven to be indispensable tools in these industries.
Exploring top data platform as a service (DPaaS) offerings
In recent years, the emergence of Data Platform as a Service (DPaaS) has revolutionised the way businesses approach data platform deployments. DPaaS offers the convenience of outsourcing the infrastructure management and maintenance associated with data platforms. Let’s explore Identrics’ top data platform provider, Kaspian, and its unique offering:
Kaspian by Identrics
- Kaspian offering:
Kaspian’s DPaaS offering provides businesses with a fully managed data delivery environment, eliminating the complexities of infrastructure management.
By leveraging Kaspian’s DPaaS, organisations can rapidly deploy and scale data platforms, accelerating time-to-insights and enabling faster decision-making.
- Data platform optimisation:
Identrics’ DPaaS solution includes performance optimisation features, such as data partitioning and indexing, to enhance query performance and data processing efficiency.
Kaspian’s pricing model ensures cost-effectiveness by aligning costs with actual usage, allowing businesses to optimise their data platform investments.
As you explore DPaaS options, assess the features, benefits, scalability, performance, security measures, and support services offered by different providers. Consider your organisation’s specific needs, budgetary constraints, and long-term data management strategies to select the DPaaS solution that best aligns with your requirements.
Making the right choice when selecting a data platform solution is paramount for businesses aiming to unlock the full potential of their data. Throughout this article, we have explored the concept and advantages of data delivery platforms, discussed the rise of Data Platform as a Service (DPaaS), showcased real-world use cases across diverse industries, and outlined essential considerations for choosing a data platform.
Moreover, we have provided an in-depth evaluation of leading vendors like Kaspian, developed by Identrics – a pioneer in training data for language models. Kaspian stands out for its advanced data processing capabilities, seamless integration with existing infrastructure, and comprehensive DPaaS offering. By harnessing high-quality training data, Kaspian empowers businesses to unlock actionable insights and drive optimal decision-making.
As you evaluate your business requirements, we encourage you to consider our checklist explaining 10 key steps when evaluating a data platform vendor as a robust and comprehensive guideline for your data platform solution.