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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.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
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Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
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.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Visionet Business Intelligence Solutions - Is your Business Intelligence real...Visionet Systems, Inc.
Visionet Systems has been helping companies mitigate risk and prepare to make the most of their corporate data. From enterprise data management assessment to establishing rigorous data standards, our domain and technology expertise has assisted companies in defining their corporate data strategies and getting the very most out of their BI and reporting assets.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Thinklayer help enterprises in optimizing business operations with Business Analytics and Software Solutions and take smarter decisions with data. Our Mission is to reduce operational cost, increase efficiency and build solutions which helps our clients to take better and smarter decisions. Our promise as a BI Company is to build value into every project while delivering professional expertise.
Strategy session 5 - unlocking the data dividend - andy steerAndy Steer
"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations.
To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes.
During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."
Caprium’s data warehousing services are the solution to this problem. Our DW solutions enable organizations to share and distribute colossal volumes of data to hundreds of users securely and efficiently. We empower our clients to effectively utilize data and to gain valuable business insights. We provide easy access to complicated data and make it easy to efficiently analyze and predict business outcomes. We offer meaningful solutions that enable organizations to increase performance in business and improve decision-making with our deep domain expertise and extensive experience in data warehousing. With extensive expertise and knowledge in data warehousing, we can provide a comprehensive set of solutions for data warehousing, from data acquisition to data transformation, to ensure you stay up to date with the current trends in the world of data.
Business Intelligence and Analytics Services Thinklayer
Thinklayer provides Business Intelligence and Analytics services with 40+ years experience. We have served clients across the globe and worked in Travel, Retail, Supply Chain and many more.
Caprium’s data warehousing services are the solution to this problem. Our DW solutions enable organizations to share and distribute colossal volumes of data to hundreds of users securely and efficiently. We empower our clients to effectively utilize data and to gain valuable business insights. We provide easy access to complicated data and make it easy to efficiently analyze and predict business outcomes. We offer meaningful solutions that enable organizations to increase performance in business and improve decision-making with our deep domain expertise and extensive experience in data warehousing. With extensive expertise and knowledge in data warehousing, we can provide a comprehensive set of solutions for data warehousing, from data acquisition to data transformation, to ensure you stay up to date with the current trends in the world of data.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Building the Artificially Intelligent EnterpriseDatabricks
This session looks at where we are today with data and analytics and what is needed to transition to the Artificially Intelligent Enterprise.
How do you mobilise developers to exploit what data scientists and business analysts have built? How do you align it all with business strategy to maximise business outcomes? How do you combine BI, predictive and prescriptive analytics, automation and reinforcement learning to get maximum value across the enterprise? What is the blueprint for building the artificially intelligent enterprise?
•Data and analytics – Where are we?
•Why is the journey only half-way done?
•2021 and beyond – The new era of AI usage and not just build
•The requirement – event-driven, on-demand and automated analytics
•Operationalising what you build – DataOps, MLOps and RPA
•Mobilising the masses to integrate AI into processes – what needs to be done?
•Business strategy alignment – the guiding light to AI utilisation for high reward
•Agility step change – the shift to no-code integration of AI by citizen developers
•Recording decisions, and analysing business impact
•Reinforcement-learning – transitioning to continuous reward
Love it or hate it, we live in a Digital Age. This presents incredible opportunities for companies willing to embrace Digital Transformation. Digital helps you to do what you already do only better! Opening doors for innovation and development
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
BUSINESS INTELLIGENCE
TECHNOLOGIES USED IN BUSINESS ANALYST:
Data Warehousing
Dashboards
Ad Hoc Reporting
Data Discovery
Cloud Data Services
BI TECHNOLOGIES USED:
SAP Business Intelligence
Tableau
TIBCO Spotfire
SAS Business Intelligence
MicroStrategy
Sisense
Yellowfin BI
Dundas BI
Systum
Microsoft Power BI
Looker
Clear Analytics
domo
Oracle BI
QlikView
Business intelligence and analytics both refer to maximize the value of your data to make better decisions, ALTEN CAlsoft Labs helps
enterprises accelerate business intelligence by providing the most comprehensive, integrated and easy-to-use reporting and analytics features with its industry specific analytics solutions and best in-class technology.
Thinklayer help enterprises in optimizing business operations with Business Analytics and Software Solutions and take smarter decisions with data. Our Mission is to reduce operational cost, increase efficiency and build solutions which helps our clients to take better and smarter decisions. Our promise as a BI Company is to build value into every project while delivering professional expertise.
Strategy session 5 - unlocking the data dividend - andy steerAndy Steer
"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations.
To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes.
During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."
Caprium’s data warehousing services are the solution to this problem. Our DW solutions enable organizations to share and distribute colossal volumes of data to hundreds of users securely and efficiently. We empower our clients to effectively utilize data and to gain valuable business insights. We provide easy access to complicated data and make it easy to efficiently analyze and predict business outcomes. We offer meaningful solutions that enable organizations to increase performance in business and improve decision-making with our deep domain expertise and extensive experience in data warehousing. With extensive expertise and knowledge in data warehousing, we can provide a comprehensive set of solutions for data warehousing, from data acquisition to data transformation, to ensure you stay up to date with the current trends in the world of data.
Business Intelligence and Analytics Services Thinklayer
Thinklayer provides Business Intelligence and Analytics services with 40+ years experience. We have served clients across the globe and worked in Travel, Retail, Supply Chain and many more.
Caprium’s data warehousing services are the solution to this problem. Our DW solutions enable organizations to share and distribute colossal volumes of data to hundreds of users securely and efficiently. We empower our clients to effectively utilize data and to gain valuable business insights. We provide easy access to complicated data and make it easy to efficiently analyze and predict business outcomes. We offer meaningful solutions that enable organizations to increase performance in business and improve decision-making with our deep domain expertise and extensive experience in data warehousing. With extensive expertise and knowledge in data warehousing, we can provide a comprehensive set of solutions for data warehousing, from data acquisition to data transformation, to ensure you stay up to date with the current trends in the world of data.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Building the Artificially Intelligent EnterpriseDatabricks
This session looks at where we are today with data and analytics and what is needed to transition to the Artificially Intelligent Enterprise.
How do you mobilise developers to exploit what data scientists and business analysts have built? How do you align it all with business strategy to maximise business outcomes? How do you combine BI, predictive and prescriptive analytics, automation and reinforcement learning to get maximum value across the enterprise? What is the blueprint for building the artificially intelligent enterprise?
•Data and analytics – Where are we?
•Why is the journey only half-way done?
•2021 and beyond – The new era of AI usage and not just build
•The requirement – event-driven, on-demand and automated analytics
•Operationalising what you build – DataOps, MLOps and RPA
•Mobilising the masses to integrate AI into processes – what needs to be done?
•Business strategy alignment – the guiding light to AI utilisation for high reward
•Agility step change – the shift to no-code integration of AI by citizen developers
•Recording decisions, and analysing business impact
•Reinforcement-learning – transitioning to continuous reward
Love it or hate it, we live in a Digital Age. This presents incredible opportunities for companies willing to embrace Digital Transformation. Digital helps you to do what you already do only better! Opening doors for innovation and development
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
BUSINESS INTELLIGENCE
TECHNOLOGIES USED IN BUSINESS ANALYST:
Data Warehousing
Dashboards
Ad Hoc Reporting
Data Discovery
Cloud Data Services
BI TECHNOLOGIES USED:
SAP Business Intelligence
Tableau
TIBCO Spotfire
SAS Business Intelligence
MicroStrategy
Sisense
Yellowfin BI
Dundas BI
Systum
Microsoft Power BI
Looker
Clear Analytics
domo
Oracle BI
QlikView
Business intelligence and analytics both refer to maximize the value of your data to make better decisions, ALTEN CAlsoft Labs helps
enterprises accelerate business intelligence by providing the most comprehensive, integrated and easy-to-use reporting and analytics features with its industry specific analytics solutions and best in-class technology.
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Data Engineering Services-Contata Solutions.pdf
1. Data Engineering Services
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 – a Software Engineering Group based in the Delhi NCR
region, back-office support group based in Nagpur & Indore India, and a sales office in
Stockholm, Sweden.
Since 2000, maintaining a legacy of loyal client base distributed across the US and also have
served customers in Norway, Sweden, Belgium, France, Netherlands & other EU countries
within wide range of business domains and verticals mainly being e-governance, Oil & Gas,
Media, Pharma, IP/Legal, Retail, Automobile, Manufacturing among others.
Design and build data repositories aggregating data from across your systems … to support
360 degree analysis of your entire business
Aggregated fresh data- Incorporate data from across systems and businesses into a single
store ... ready for analysis.
Common Vocabulary- Establish a standardized dictionary of data fields to enable data
integrity and common vocabulary across business stakeholders.
Enforce Compliance- Avoid legal hassles with built-in support for internal and external
compliance requirements including GDPR and CCPA/HIPPA/PCI.
Monitor your business- Use the data store to support ongoing monitoring of the business
with KPIs & alerts dashboards.
Design and Strategy Consultation
Architect the right data solutions for your needs
There are a multitude of approaches for building
solutions that integrate data from different sources and
support fresh business insights. Ensuring a solid
foundation and supporting structure for data
intelligence enables true data activation, revealing
previously obscured insights.
Leverage expert advice to select the right cloud or on-
premises architecture incorporating ETL pipelines,
data-warehouse/data-mart/data-lake, BI tools, and ongoing governance processes.
2. ETL Pipelines
Enable critical decision-making with clean and fresh data
Building robust data pipelines to continuously stream in
clean and standardized data from different sources is a
must to support on-demand business intelligence.
Engage experienced data engineers with a wealth of
experience building pipelines for cloud or on-prem
based deployments.
Data lakes and warehouses
Build data repositories rapidly to support essential business
functions
Rapidly consolidating data in a single place
enables quicker analytics and data insights from
copious amounts and varied types of data
(relational, logs, JSONs) with thoughtfully
designed data lakes, warehouses, or data marts.
Realize a lower cost of data capture and storage
with a single source of truth for standardized data
to support essential business reporting and
analysis.
Data Governance
Control data quality with governance policies and standards
The quality, consistency and security of your data are
critical in enabling fresh business insights and data-
driven strategies.
Contata can help design and implement the processes,
procedures, policies and metrics towards an ongoing
data-governance practice.
3. Data Mining and Machine Learning
Drive strategies based on insights and patterns gleaned from
your data
Dashboards highlighting KPIs levels and alerts
can provide effective ongoing high-level
monitoring of your business. Interactive and
automated techniques supported on the data
repository can help you understand what is going
on with your business … and identify root causes
or issues.
Contata can help build and deploy BI portals so
that users in different departments across your
business can access insights related to their
domains safely and securely.
Explore More:
• Data Science Services
o Data Audit Services
o Data Science Services
o Data Engineering Services
o Business Intelligence Services
o Machine Learning Services
o Customer Data Analytics Services
o Text Document Analytics Services
o Oil Gas Analytics Services
• Application Development Services:
o Custom Software Development Services
o Quality Management System Engineering Services
o Cloud Development Services
o Digital Transformation Solutions
o Product Engineering Services
o Oil Gas Industry Software Solution
To have discussion with our consultant talk to sales team on +46-851-970-002
or send mail on sales@contata.com .