Data To Value offer both on-client and managed services to address customer's data quality and profiling challenges.
Partnering with Data To Value can boot-strap firms's Data Governance challenges through clear demonstration of business value.
Graphically understand and interactively explore your Data LineageMohammad Ahmed
Graphically understand and interactively explore your Data Lineage:
Data Lineage for ER/Studio gives data management professionals and business users essential insight to the extracts, transformations, and loads of complex enterprise data. Data governance and organizational compliance is supported with detailed metadata management for risk reduction and data discrepancy isolation.
In this presentation we look at the key reasons for using ER/Studio Data Lineage and what it provides you with.To learn more about ER/Studio Data Lineage please look here: http://www.embarcadero.com/products/er-studio-data-lineage or request a demo here: http://forms.embarcadero.com/forms/ERStudioProductInterest
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data flows to and what has changed cannot be overstated. The webinar defines data lineage and discuss implementation through the eyes of those that have implemented and sustained successful lineage solutions with significant benefits.
Listen to the webinar to find out about:
- Data management for data lineage
- Winning buy-in for projects
- Best practice implementation
- Operational and business benefits
- Expert practitioner advice
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Daniel is a Project Leader at Datayaan.
He has worked on designing and implementing innovative solutions for complex business problems and has helped companies with digital transformation.
Telehealth, Transport Logistics, and Telcom are some of the key areas his work covers.
And on the tech side he has widespread knowledge and experience in Microservices,IoT and Cloud.
He's going to talk about his approach in transforming an organization to leverage data-driven decision making.
For this he presents Transport Logistics as a use case and walks us through an overview of how the transformation takes place:
How the Data is Collected and Processed.. What we can do using the collected data.. and how the organization is benefitted..
He is also going to shed some light on how IoT can be used to automate data collection which is very crucial for building an effective data-driven business model
Graphically understand and interactively explore your Data LineageMohammad Ahmed
Graphically understand and interactively explore your Data Lineage:
Data Lineage for ER/Studio gives data management professionals and business users essential insight to the extracts, transformations, and loads of complex enterprise data. Data governance and organizational compliance is supported with detailed metadata management for risk reduction and data discrepancy isolation.
In this presentation we look at the key reasons for using ER/Studio Data Lineage and what it provides you with.To learn more about ER/Studio Data Lineage please look here: http://www.embarcadero.com/products/er-studio-data-lineage or request a demo here: http://forms.embarcadero.com/forms/ERStudioProductInterest
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data flows to and what has changed cannot be overstated. The webinar defines data lineage and discuss implementation through the eyes of those that have implemented and sustained successful lineage solutions with significant benefits.
Listen to the webinar to find out about:
- Data management for data lineage
- Winning buy-in for projects
- Best practice implementation
- Operational and business benefits
- Expert practitioner advice
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Daniel is a Project Leader at Datayaan.
He has worked on designing and implementing innovative solutions for complex business problems and has helped companies with digital transformation.
Telehealth, Transport Logistics, and Telcom are some of the key areas his work covers.
And on the tech side he has widespread knowledge and experience in Microservices,IoT and Cloud.
He's going to talk about his approach in transforming an organization to leverage data-driven decision making.
For this he presents Transport Logistics as a use case and walks us through an overview of how the transformation takes place:
How the Data is Collected and Processed.. What we can do using the collected data.. and how the organization is benefitted..
He is also going to shed some light on how IoT can be used to automate data collection which is very crucial for building an effective data-driven business model
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
Building Your Enterprise Data Marketplace with DMX-hPrecisely
In the past few years third-party data marketplaces, often provided as Data as a Service, have taken off. But most organizations already own the data most relevant to their business – data pertaining to their own customers, transactions, products, etc.
That’s why the most successful organizations are applying the concepts of external data markets to create their own enterprise data marketplaces, where users can easily find and access data from across the company that is clean, trustworthy and auditable.
View this webinar on-demand to learn how to build an enterprise data marketplace of your own with DMX-h! We'll cover:
• Attributes of a successful enterprise data marketplace
• Potential roadblocks, and how to overcome them
• Examples of customers who have successfully built data marketplaces with DMX-h
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
A Dynamic Data Catalog for Autonomy and Self-ServiceDenodo
Watch Daves' presentation on-demand from Fast Data Strategy Virtual Summit here: https://buff.ly/2Kj7muc
Denodo’s new dynamic catalog is the new black. It combines the power of data delivery infrastructure with data catalog for contextual information and collective intelligence.
Attend this session to discover:
• What is unique about Dynamic Data Catalog?
• How it empowers a community of analysts and decisions makers?
• How it facilitates data curation and data stewardship in your organization?
Navigating data strategy is difficult, there are entire books and careers focused on the topic.
For the rest of us that are in need of quick consumable advice, here's a flywheel that articulates the high-level approach our teams are using to create exponential data value for products.
Accelerate Innovation with Databricks and Legacy DataPrecisely
Getting the best AI models and analytics results mean quickly and efficiently delivering data to the cloud with accuracy, consistency, and context. But when you must connect legacy systems like mainframe and IBM i to the cloud, your project can become expensive, time-consuming, and reliant on highly specialized skillsets. So much for speed and efficiency!
View this on-demand webinar to explore how data from mainframe and IBM i can deliver the trusted data required for advanced analytics and artificial intelligence within Databrick’s Unified Analytics Platform.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your DataPrecisely
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
BUSINESS ENABLED ANALYTICAL DATA FLOW MANAGEMENT @ YOUNGCAPITAL - Big Data Ex...webwinkelvakdag
This presentation will focus on the importance of business enabled analytical data flow management to support business processes and decision making within YoungCapital. Part of the presentation will be an example of the ROI that is being realized with this approach.
At YoungCapital big data is used to find suitable candidates for jobs in the market place and to match jobs to candidates and candidates to jobs and using advanced in house developed artificial intelligence. These solutions are based on (web) behavior, demographic, registration and resume data. In BI we need to report and analyze on millions of transactions per year. With thousands of candidates putting in daily declarations both in our systems as well as our customers systems we need flexibility in consolidating all that data for both operational processes as well as business analytics and artificial intelligence. In stead of using data engineers in combination with business analysts to manage this YoungCapital is using Alteryx to enable business analysts to combine their analysis & business expertise with the capability of creating data flows that directly benefit the business. This frees up our data engineers for larger projects and improves the speed and quality of information delivered into our decision making.
About YoungCapital: YoungCapital is a recruitment specialist for young talent. It manages 26+ recruitment sites in 9 countries. The candidate database contains 6m+ profile. 50k+ per month are being added. With a revenue of €465 million, YoungCapital is the fastest growing company in the Dutch HR sector and number 5 in the top 250 of fastest growing companies in the Netherlands.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
If handled correctly, customer data can fuel new levels of customer acquisition performance, sales conversion rates and the overall lifetime value of a customer. IT research and consulting firm Enterprise Management Associates (EMA) has conducted a survey about master data management (MDM) initiatives that have been adopted within different organizations.
Here are the top takeaways from the survey, including:
As customer touch points are expanding over time, a more agile integration approach is required for success
You can drive the greatest value from MDM through actionable customer-facing applications or customer-facing employees and business partners
Shifting the data accountability to the lines of business is clearly a key differentiator for the most successful organizations
Bigdata and Analytics Services - Clover InfotechSwetha Elias
We consult clients on strategic aspects of the analytical capabilities' planning including BIG data integration through our 20+ years of data management and industry expertise.
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
Building Your Enterprise Data Marketplace with DMX-hPrecisely
In the past few years third-party data marketplaces, often provided as Data as a Service, have taken off. But most organizations already own the data most relevant to their business – data pertaining to their own customers, transactions, products, etc.
That’s why the most successful organizations are applying the concepts of external data markets to create their own enterprise data marketplaces, where users can easily find and access data from across the company that is clean, trustworthy and auditable.
View this webinar on-demand to learn how to build an enterprise data marketplace of your own with DMX-h! We'll cover:
• Attributes of a successful enterprise data marketplace
• Potential roadblocks, and how to overcome them
• Examples of customers who have successfully built data marketplaces with DMX-h
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Self -Service Data preparation for Data-Driven marketingJean-Michel Franco
Marketing needs data to operate in the digital era. But there's a data gap. Self Service data preparation is tackling the painful last mile of data, the one that makes everyone ready to put data at work for its own needs. See how that works.
A Dynamic Data Catalog for Autonomy and Self-ServiceDenodo
Watch Daves' presentation on-demand from Fast Data Strategy Virtual Summit here: https://buff.ly/2Kj7muc
Denodo’s new dynamic catalog is the new black. It combines the power of data delivery infrastructure with data catalog for contextual information and collective intelligence.
Attend this session to discover:
• What is unique about Dynamic Data Catalog?
• How it empowers a community of analysts and decisions makers?
• How it facilitates data curation and data stewardship in your organization?
Navigating data strategy is difficult, there are entire books and careers focused on the topic.
For the rest of us that are in need of quick consumable advice, here's a flywheel that articulates the high-level approach our teams are using to create exponential data value for products.
Accelerate Innovation with Databricks and Legacy DataPrecisely
Getting the best AI models and analytics results mean quickly and efficiently delivering data to the cloud with accuracy, consistency, and context. But when you must connect legacy systems like mainframe and IBM i to the cloud, your project can become expensive, time-consuming, and reliant on highly specialized skillsets. So much for speed and efficiency!
View this on-demand webinar to explore how data from mainframe and IBM i can deliver the trusted data required for advanced analytics and artificial intelligence within Databrick’s Unified Analytics Platform.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your DataPrecisely
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
BUSINESS ENABLED ANALYTICAL DATA FLOW MANAGEMENT @ YOUNGCAPITAL - Big Data Ex...webwinkelvakdag
This presentation will focus on the importance of business enabled analytical data flow management to support business processes and decision making within YoungCapital. Part of the presentation will be an example of the ROI that is being realized with this approach.
At YoungCapital big data is used to find suitable candidates for jobs in the market place and to match jobs to candidates and candidates to jobs and using advanced in house developed artificial intelligence. These solutions are based on (web) behavior, demographic, registration and resume data. In BI we need to report and analyze on millions of transactions per year. With thousands of candidates putting in daily declarations both in our systems as well as our customers systems we need flexibility in consolidating all that data for both operational processes as well as business analytics and artificial intelligence. In stead of using data engineers in combination with business analysts to manage this YoungCapital is using Alteryx to enable business analysts to combine their analysis & business expertise with the capability of creating data flows that directly benefit the business. This frees up our data engineers for larger projects and improves the speed and quality of information delivered into our decision making.
About YoungCapital: YoungCapital is a recruitment specialist for young talent. It manages 26+ recruitment sites in 9 countries. The candidate database contains 6m+ profile. 50k+ per month are being added. With a revenue of €465 million, YoungCapital is the fastest growing company in the Dutch HR sector and number 5 in the top 250 of fastest growing companies in the Netherlands.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
If handled correctly, customer data can fuel new levels of customer acquisition performance, sales conversion rates and the overall lifetime value of a customer. IT research and consulting firm Enterprise Management Associates (EMA) has conducted a survey about master data management (MDM) initiatives that have been adopted within different organizations.
Here are the top takeaways from the survey, including:
As customer touch points are expanding over time, a more agile integration approach is required for success
You can drive the greatest value from MDM through actionable customer-facing applications or customer-facing employees and business partners
Shifting the data accountability to the lines of business is clearly a key differentiator for the most successful organizations
Bigdata and Analytics Services - Clover InfotechSwetha Elias
We consult clients on strategic aspects of the analytical capabilities' planning including BIG data integration through our 20+ years of data management and industry expertise.
Alpha Analytics leverages technology and automation to help some of the largest Market Research companies with their data management and processing needs. Our team and products help our clients gain actionable insights.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Get top-notch quality Big Data Analytics Services for extraction of beneficial insights from immense data sets for your business and utilize them into actionable intelligence.
Advanced data services can help you unlock the full potential of your data and gain a competitive advantage. By investing in data services, you can transform your raw data into actionable insights that can be used to improve every aspect of your business.
Predictive Analytics & Decision Solutions [PrADS], a subsidiary of Dun & Bradstreet provides cutting edge analytics solutions and actionable insights to leading organizations globally , The following presentation provides an overview of the services offered
Using Data Mining Technique, Loginworks is offering the web data mining solutions. One of the leading Data mining companies delivering data mining services.
https://www.loginworks.com/data-mining/
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Data Science Software Application Development Services IT Services.pdf.pdfContata Solutions
Contata Solutions, founded in 2000, is a Data Science Service provider & Software Application Development company headquartered in Minneapolis, US with 5 offices including offshore centers in India. We have a Software Engineering Group based in the Delhi-NCR region, India; a back-office support group based in Nagpur & Indore, India; and a sales office in Stockholm, Sweden.
Financial Services - New Approach to Data Management in the Digital Eraaccenture
How current is your data management strategy? As technology—and the requirements and business drivers around it—changes, financial services firms will need to change their approach to data management. To guide your approach, see the three building blocks to Accenture’s data management framework covered in this presentation.
For Accurate Data Entry Services - Contact e-Datatransc - Legal Data Entry, HCFA/Dental claims Data Entry, ePublishing & XML, PDF to WORD, Document Scanning, OCR conversion requirement
We offer data analytics consulting, holistic data analytics transformation, and 1-hour analytics consultations in Raleigh, Apex, and Charlotte. Call us today.
Similar to Introduction to Data To Value Managed Services (20)
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. Our Approach
We deliver faster results than traditional methods via:
The latest Data Mining, analysis tools & techniques
A unique & agile 3 tiered approach
Business friendly, intuitive & actionable metrics
We measure your data against 6 key data quality
dimensions establishing:
The true cost of poor quality data
The risk profile of poor quality data
The value of your data
Typical requirements range from thousands of records to
millions of records.
All business areas covered
Finance, Risk, Operations, Trading, Sales…
All critical datasets covered
Customers, Products, Sales, Activities, Valuations,
Positions, Trades, Investors, Counterparties, Securities
and others….
0
0.2
0.4
0.6
0.8
1
Informatica
4. Scorecards with dimensions KPIs / Issues Lists
Aimed at
- Sponsors
- Decision makers
Aimed at
- Data practitioners
- Highly dependent stakeholders
Data Quality Managed Service Sample outputs
5. Case study
How we helped a major European Bank
identify risk & cost savings through
enhanced Data Quality Management
6. Case study
Data to Value were hired to deliver an end to end review of the bank’s
derivative trade reporting data architecture, data quality and data modelling
capabilities
The objective was to increase regulatory reporting compliance through
improved data quality, data coverage and more timely reporting
Data to Value identified opportunities for using the latest NoSQL
architectures to improve data retention, systems performance and data
distribution
Our consultants reverse engineered & profiled 3 complex data warehouses
containing tables with tens of millions of trades in each warehouse.
Findings and results were presented using a number of analytics and
dashboards articulating clear business cases for strategic work as well as an
incremental roadmap for resolving process and data issues
7. Managed Services
We offer a number of our services in cost
effective remote and onsite managed formats
8. Managed Services introduction
We offer fully remote or onsite managed services
We offer 5 core capabilities:
Data Quality Management & Profiling
Data Migration
Database Reverse Engineering
Data Management
Data Insight
We use Amazon web services to ensure:
Maximum uptime & performance
Responsive scalability
Minimal cost to the client
Information Security aligned to latest best practices
Tools:
We use a wide variety of the latest generation of Big Data,
NoSQL tools
Experian Pandora & Tableau for example are often used for DQ
requirements and included for illustrative purposes in our cloud
architecture below
9. Managed Services - details
Data Quality
Management &
Profiling
Applying the latest data
profiling techniques we
identify anomalies and
defects in your data.
Data corrections can then
either be made by our
team or provided back to
the customer as issues
lists.
Dashboards and metrics
are used throughout to
measure and present
progress
Prices start from £399 per
day exc. VAT*
• Dependent on data
volumes & complexity
Data Migration
Implementing a new system and want to retain historical data?
Provide us with your source data extracts, database(s) or other
content and we apply automated discovery, mapping and
transformation techniques to de-risk your data migration.
Prices start from £599 per day exc. VAT*
* Dependent on data volumes & complexity
Database Reverse Engineering
Legacy system that you don’t fully understand?
We apply the latest metadata discovery and profiling techniques
to understand the structure, content and design of your data
sources.
Packages are tailored to specific requirements – e.g. physical /
logical data modelling, semantic / linked data requirements and
business rules.
Prices start from £599 per day exc. VAT*
• Dependent on database technology & complexity
Data Management
Looking to outsource your data input, enrichment, mapping or
reconciliation tasks to an experienced provider?
We use the latest technologies and automation techniques to de-
risk and reduce the cost of high volume, boutique data
management tasks.
Prices start from £599 per day exc. VAT*
* Dependent on database technology & complexity
Data Insight
Looking for insights in your data but don’t want to commission
expensive infrastructure and hire specialist staff?
We can remotely analyse your data using the latest Data Science
and Data Mining techniques.
We present results back to you using the latest intuitive Data
Visualization techniques enabling you to make robust decisions,
quickly.
Prices start from £599 per day exc. VAT*
• Dependent on data volumes, structure & complexity
10. Managed Services - Architecture
Unstructured Data
Documents,
webpages etc.
analysed
- Customers
- Products
- Sales
- Activities
- Searches
- … Issues, Insights and
actions fed back into
cycle
Data
Discovery
Data
Modelling
Insights & enhancements
presented using best
practice artefacts
Data
ProfilingData Mining
Clean, transformed,
enriched, integrated, well
defined data outputs
Data
Management
Data
Cleansing
Standardising &
enriching
Reverse
Engineering
Documenting
Data
Sources
Structured
Data
Disparate
Files &
Databases
analysed
11. Typical outputs
DQ Issue lists & KPIs to
guide decision making
Powerful, interactive
visualisations
Models & Glossaries
to understand what
data assets you
have & how to
leverage them
Dashboards articulating the
data quality issues that are
holding you back
Clean, actionable &
well structured data
in a variety of
formats
12. Passionate, Innovative, Lean
Lean Information Management specialists
Data to Value Ltd.
2nd Floor Elizabeth House
39 York Road
London SE1 8SW
United Kingdom
T +44 (0) 208 278 7351
www.datatovalue.co.uk
info@datatovalue.co.uk