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Apeldoorn, Netherlands
11-50 Employees
2019
PoultryPlan is always looking for new distributors or agents all over the globe interested in selling and implementing our innovative software system PoultryPlan. PoultryPlan's poultry management system offers you a software package that provides insight into all relevant data within your poultry business or poultry integration. PoultryPlan has been designed for and developed with the user. PoultryPlan is a software solution designed specifically for the poultry industry. With PoultryPlan, users can easily manage their flocks, track feed and medication usage, monitor bird growth and health, and much more. PoultryPlan's innovative poultry management solutions provide businesses with streamlined processes, enhanced traceability, and real-time monitoring capabilities. PoultryPlan has been an invaluable tool in streamlining the feed production process our company. Overall, PoultryPlan has been a valuable tool in optimizing the feed production process and ensuring the highest quality feed for our poultry.
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OptiFeed: Optimize your Feed Mill Data Management
... OptiFeed: Optimize your Feed Mill Data Management ...
Exeter, United Kingdom
11-50 Employees
2008
A specialist provider of data backup & recovery solutions that enable organisations of all sizes to access the functionality delivered by enterprise-level data protection without the complexities. We do this by leveraging our long-standing partnership with Redstor. Backup data is encrypted while in transit and at rest with an encryption key set by you, ensuring no unauthorised access to data including from ClearYolk. With centralised management and reporting, backups and recoveries can be managed quickly and easily from one place. There’s no need for a complex scope of works, or expensive professional services, just quick, simple set up that enables you to manage by exception from day 1 and beyond.
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Organise Your Data Management with ClearYolk
... Cloud-native data management and protection for your organisation with no need for hardware, a single application for management and a scaling pricing model to suit your needs. ...
Gothenburg, Sweden
1-10 Employees
Magilo provides teams or individuals for roles such as: Data Engineer, MDM specialist, Information Architect, Project Manager, Business Analyst, Solution architect, Data Scientist. We are partnering with the best Data Governance and MDM vendors in the market. Magilo is all about competence, friendliness and integrity. We are also strong believers in common sense and aim to demystify buzzwords, properly understanding your problem before talking implementation or deciding on solution. We are always looking for additional team members and clients who share our philosophy. We focus on your business from start to finish. Our teams and individuals deliver anything from business analysis to solution design and implementation. We believe in a pragmatic approach, agile methods and a touch of common sense.
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Data Management
... Expert Data Management consulting to achieve digital solutions with accessible and secure high quality data. Magilo covers all project needs. ...
Berlin, Germany
11-50 Employees
2013
Das Portal für einfaches Onboarding Ihrer Lieferanten und qualitätsgeprüfte Produktdaten. Erfassung und Verwaltung aller Produktdaten – qualitätsgeprüft und korrigiert direkt vom Lieferanten ins PIM. Erfassen und Verwalten aller Produktdaten – qualitätsgeprüft und korrigiert direkt vom Lieferanten ins PIM.
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Master Data Management
... Discover all about Master Data Management: Definition, significance, and why it's essential for your business. ...
Stoneville, United States
11-50 Employees
1966
Use our marketing database, and we can clean, validate, deduplicate and segment your donor data. When you’re ready to launch your next direct-mail campaign, rest assured that your segments and the records in them are ready to go. Ready for a database you can rely on for your direct-mail and digital fundraising operations? Let us manage a consolidated database of record using your preferences so that you can focus on running your organization with confidence in the accuracy and quality of your house file. Struggling to get the reports your team needs? We can work with you to analyze your data, build any reports or visualizations your team needs, develop a strategy for improving fundraising KPIs, and monitor your organization’s progress toward key goals. Dive deep into your digital and direct mail campaigns.
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Bytespree Data Management Platform
... DMI - Bytespree Data Management ...
Wilmslow, United Kingdom
1-10 Employees
1992
Our business intelligence/analytics expertise includes augmented BI platforms, enterprise performance management, machine learning, graph analytics, natural language processing, and data visualisation. With respect to data management, we offer expertise in data strategy, data architecture, data mesh, lakehouses, cloud analytical databases, data engineering, data virtualisation, data catalogs, data classification, data observability, data governance including data quality, master data management, data privacy, data access security, data sharing, data loss prevention, and data retention. This includes acting as the link between business and IT, to tie technology to business strategy, designing enterprise architectures, evaluating and selecting products, and leading complex implementation projects. We also conduct research, write product reports and white papers and teach master classes in:. Register today for additional and exclusive content - informative research papers, product reviews, industry news.
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MDM / RDM, Data Management
... Reference Data Management for Solvency II - Intelligent Business ...
United Kingdom
1-10 Employees
We provide our clients with unparralled data management services as well as training /mentoring with cutting-edge technologies and the know-how to apply them to their individual business models. Asher Consultancy Services Limited is an innovative and rapidly growing full-service Data Manageent / IT consulting firm. We're a well-established company that delivers reliable Sub Surface Data Management , Application support ,Geographical Information Systems and IT solutions to businesses in the London area and beyond. Our comprehensive services provide clients with unique technology solutions that are customised to meet the specific demands of their businesses. Let our experts assist you with strategic Data Managment , IT guidance, management and support that allows you to take your mind off technology and concentrate on your core area of business. Asher Consultancy Services Limited provides cost-efficient solutions that simply make good sense. Asher Consultancy Services Limited is a full-service IT consulting agency based in London. Our clearly mapped strategy is the ideal starting point for a stable system.
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Data Management
... Data Management ...
San Diego, United States
51-100 Employees
2008
Robust datasets that cover all major regions provide comprehensive market, product, and distribution intelligence. Envision and launch world-class products that increase market share and grow revenue. Recruit top talent globally and provide training and development opportunities to retain them. Shorten sales cycles with up-to-date insights into what products an advisor is using today, how utilization is changing over time, and where new opportunities exist for your products. Quickly understand assets, flows, and market share by territory, product, platform, advisor, and more. Build and strengthen powerful pipelines with up-to-date information for any plan, advisor, provider, fund, or asset manager across any channel.
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Market Intelligence: Sales Reporting, BI & Analytics, and Data Management
... Market Intelligence: Sales Reporting, BI & Analytics, and Data Management ...
Bengaluru, India
251-500 Employees
1995
Starcom Information Technology Limited – established in the year 1995 is a listed company on Bombay Stock Exchange (BOM: 531616), HQ in Bangalore, India is a leader for Automated data management and Customer 360 platform for Insurance and Banking industry which includes Customer 360°, Data Quality, Business Intelligence & Data Analytics Products and Services. StarDQ has processed more than 1 Billion Customer Records, StarDQ is a completely Automated Data Quality engine which embeds into the customer's existing business workflow and eliminates the need for any manual data quality teams and services. Starcom Information Technology Limited, HQ in Bangalore, India listed on BSE is a leading provider of expert Enterprise Data Quality, Self-Service Business Intelligence & Data Analytics Products and Services. Star 360 Platform Offers UI based monitoring control panels to manage the internal processes with suitable reports and dashboards coupled with alerts and notifications.
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Master Data Management Platform
... Self-Service Data Management ...
London, United Kingdom
101-250 Employees
1991
Alveo is the leader in cloud-based market data integration, analytics and Data-as-a-Service solutions for financial services. Quickly and reliably onboarding data through prebuilt adapters and targeted sourcing as per your lists of interest. Alveo is the leader in cloud-based and cloud agnostic market data management solutions that provide off-the-shelf connectivity, data quality management, easy access and integration into business user workflows. Off the shelf integration with ESG specialists and enterprise data providers to a common domain model for analyst support, decision making and external reporting.
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Featured
Integrated data management & analytics
... Data management and advanced analytics are both critical capabilities, often run separately. Alveo manage provide the full solution to fintech clients globally. ...
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Some interesting numbers and facts about the results you have just received for Data Management
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 9079 |
| Amount of suitable service providers | 9154 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1966 |
| Youngest suiting company | 2019 |
Data Management refers to the systematic process of collecting, storing, organizing, protecting, verifying, and processing essential data to ensure its accessibility, reliability, and timeliness to the users. It encompasses a broad set of disciplines including data governance, data architecture, data modeling and design, data storage and operations, data security, data integration and interoperability, data warehousing and business intelligence, metadata management, and data quality management. The primary aim of data management is to enable organizations and individuals to optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A well-implemented data management strategy can significantly enhance decision-making, improve operational efficiency, increase customer satisfaction, and gain competitive advantage. In its essence, it forms the backbone of the digital economy, empowering businesses to leverage their data as a strategic asset. By ensuring that data is accurate, available, and secure, organizations can foster innovation, streamline operations, and adapt more quickly to market changes or opportunities. Effective data management is therefore critical for any organization looking to thrive in the modern business landscape, where data-driven insights and decisions are increasingly pivotal to success.
1. Enhanced Decision Making
Effective data management facilitates access to accurate and updated data, empowering organizations to make informed decisions rapidly. By consolidating data into a single, accessible framework, businesses can analyze trends and insights more efficiently, leading to improved strategic planning.
2. Increased Operational Efficiency
A well-structured data management system streamlines processes by reducing redundancy and eliminating errors. This optimization of data handling processes significantly boosts productivity, allowing employees to focus on core activities rather than managing data discrepancies.
3. Improved Data Security
Strong data management practices include robust security measures that protect sensitive information from unauthorized access and data breaches. By implementing access controls and encryption, businesses can ensure the confidentiality and integrity of their data, fostering trust among stakeholders.
4. Regulatory Compliance
With the increasing emphasis on data protection laws and regulations, effective data management ensures that organizations comply with legal standards. This compliance not only avoids potential fines but also enhances the company's reputation in terms of data governance and responsibility.
While evaluating the different suppliers make sure to check the following criteria:
1. Compliance and Security
Ensure the supplier adheres to industry standards for data security and privacy, such as GDPR and ISO certifications.
2. Scalability
The solution should grow with your business, accommodating increasing data volumes without performance degradation.
3. Integration Capabilities
Look for seamless integration with existing systems and platforms to streamline data management processes.
4. Customization
The supplier should offer customization options to tailor the solution to your specific needs and requirements.
5. Data Recovery and Backup
Verify that the supplier provides robust data recovery and backup solutions to safeguard against data loss.
6. Technical Support
Assess the level of technical support offered, including availability, responsiveness, and expertise.
In the healthcare industry, data management plays a crucial role in patient care and research. Hospitals and clinics leverage data management systems to securely store and access patient records, facilitating quick and informed decision-making. This streamlined access to data ensures that healthcare providers can offer personalized treatment plans and improve patient outcomes while maintaining compliance with privacy regulations. Within the financial sector, data management is key to risk assessment and fraud detection. Banks and financial institutions analyze vast amounts of transaction data to identify patterns indicative of fraudulent activity. By efficiently managing and analyzing data, these organizations can mitigate risks, protect their customers' assets, and comply with stringent regulatory requirements. In the realm of manufacturing, data management underpins supply chain optimization and quality control. Manufacturers rely on sophisticated data management tools to track the flow of materials, manage inventory levels, and monitor production processes in real time. This ensures timely delivery of products, minimizes waste, and maintains high standards of quality, directly impacting their bottom line. For the retail industry, data management is instrumental in personalizing customer experiences and driving sales. Retailers analyze customer data to understand purchasing behaviors, preferences, and trends. This insight allows for targeted marketing campaigns, personalized product recommendations, and strategic inventory management, enhancing customer satisfaction and loyalty.
Data management technologies are widely considered to be at a high Technology Readiness Level (TRL), specifically around TRL 8 or 9, which signifies that these technologies are fully mature and have been proven to work in operational environments. This high level of readiness is attributed to several technical advancements and the extensive integration of data management systems across various sectors. Key factors include the development of sophisticated algorithms and artificial intelligence (AI) models that enhance data processing, storage, and retrieval efficiencies. Furthermore, the advent of cloud computing has revolutionized data management by providing scalable, reliable, and cost-effective solutions for handling vast amounts of data. The widespread adoption of standards and protocols for data security, privacy, and interoperability also underscores the maturity of data management technologies. These technical milestones have facilitated the seamless exchange and analysis of data, thereby enabling organizations to derive actionable insights and make informed decisions. Moreover, the continuous innovation in database management systems (DBMS), including NoSQL, NewSQL, and in-memory databases, has addressed the challenges of handling big data and real-time analytics, solidifying the high TRL of data management technologies.
In the Short-Term, data management is set to embrace advanced automation and machine learning algorithms, significantly reducing manual data cleansing and categorization tasks. This phase will witness the proliferation of self-service data preparation tools that enable end-users to manipulate and analyze data without deep technical expertise, fostering a more data-driven decision-making culture across various sectors. Moving into the Mid-Term, we anticipate the integration of blockchain technology for enhanced data security and traceability. This period will also see the rise of federated learning, allowing for the development of more sophisticated AI models that can be trained directly on a wide array of decentralized data sources. This approach not only improves model accuracy but also addresses privacy concerns by ensuring data does not leave its original location. In the Long-Term, quantum computing is expected to revolutionize data management with its ability to process complex datasets exponentially faster than traditional computers. This breakthrough will unlock new possibilities in predictive analytics and big data processing, enabling real-time insights into vast amounts of unstructured data. Moreover, the advent of edge computing will distribute data processing closer to the source, significantly reducing latency and bandwidth usage while enabling more efficient real-time data analysis.
