Every enterprise's Big Data Analytics journey is unique and they should move at their own pace when getting started or expanding usage. It is important to have a solid strategy and roadmap in place. Agilisium helps clients develop the right strategy and roadmap for their needs by understanding their maturity, needs, and capabilities before devising an approach aligned with business goals and organizational readiness. They implement design thinking and help identify customer insights and internal/external data critical for decision making and building robust systems.
3 Steps to Turning CCPA & Data Privacy into Personalized Customer ExperiencesJean-Michel Franco
Your company’s success lies in your capacity to keep your customers’ trust while offering them a personalized experience. With the right Data Privacy framework and technology for your data governance project you will maintain compliance and prosper.
CCPA isn’t the first privacy regulation to impact virtually every organization that does business in the United States – it’s simply the one starting in 2020. As these regulations continue to expand and change, what if there was a way to turn compliance into your advantage? Attend this session and learn how a strong, carefully considered data governance program can help you stay ahead of new regulations like CCPA, and also enhance customer experiences with trusted data.
Learn how a 3-step approach can help you:
Ensure regulatory compliance at scale
Deliver advanced analytics with trusted data
Enable customer personalization for more accurate business insights targeted offers, and behavioral knowledge
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
5 top reasons why data governance needs to business successshopiawilson
The data governance approach is a combination of processes and practices which help to ensure the management od data assets within an organization and enterprise.
Delivering Analytics at Scale with a Governed Data LakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
GDPR is more than another regulation to be handled by your back office. As stated by the European Commission, “The primary objective of this new set of rules is to give citizens back control over of their personal data.” And surveys show that European citizens are eager to apply for those new fundamental rights, such as access to information, data portability, and the right to be forgotten. Will you be ready to deliver, or will you be forced to tell your customers that unfortunately, you are not yet ready to respect their rights?
Enacting the GDPR’s Data Subject Access Rights (DSAR) requires practical actions. There’s a mandate for an integrated data governance strategy to establish your data inventory, operationalize controls, foster accountability across teams and ensure compliance, and finally unleash personal data to your customers, employees, visitors, and prospects. Only a strong data governance program on top of a modern, collaborative data hub ensures that you have the policies, standards, and controls in place to enforce compliance.
This presentations outlines the practical steps to deploy governed data services that:
Know your customers and employees with a data inventory
Track and trace data using audit trails and data lineage
Manage and propagate opt-in consent across customer-facing applications
Reconcile and protect your sensitive data in a data hub with automated controls, data stewardship, and data masking
Respect the rights for your data subjects with collaborative data management and portals
3 Steps to Turning CCPA & Data Privacy into Personalized Customer ExperiencesJean-Michel Franco
Your company’s success lies in your capacity to keep your customers’ trust while offering them a personalized experience. With the right Data Privacy framework and technology for your data governance project you will maintain compliance and prosper.
CCPA isn’t the first privacy regulation to impact virtually every organization that does business in the United States – it’s simply the one starting in 2020. As these regulations continue to expand and change, what if there was a way to turn compliance into your advantage? Attend this session and learn how a strong, carefully considered data governance program can help you stay ahead of new regulations like CCPA, and also enhance customer experiences with trusted data.
Learn how a 3-step approach can help you:
Ensure regulatory compliance at scale
Deliver advanced analytics with trusted data
Enable customer personalization for more accurate business insights targeted offers, and behavioral knowledge
Data is everywhere, and delivering trustable data to anyone who needs it has become a challenge. But innovative technologies come to the rescue: through smart semantics, metadata management, auto-profiling, faceted search and collaborative data curation there is a way to establish a Wikipedia like approach for your data. Find out how Talend will help you to operationalize more data faster and increase data usage for everyone with an Enterprise Data Catalog
5 top reasons why data governance needs to business successshopiawilson
The data governance approach is a combination of processes and practices which help to ensure the management od data assets within an organization and enterprise.
Delivering Analytics at Scale with a Governed Data LakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Enacting the data subjects access rights for gdpr with data services and data...Jean-Michel Franco
GDPR is more than another regulation to be handled by your back office. As stated by the European Commission, “The primary objective of this new set of rules is to give citizens back control over of their personal data.” And surveys show that European citizens are eager to apply for those new fundamental rights, such as access to information, data portability, and the right to be forgotten. Will you be ready to deliver, or will you be forced to tell your customers that unfortunately, you are not yet ready to respect their rights?
Enacting the GDPR’s Data Subject Access Rights (DSAR) requires practical actions. There’s a mandate for an integrated data governance strategy to establish your data inventory, operationalize controls, foster accountability across teams and ensure compliance, and finally unleash personal data to your customers, employees, visitors, and prospects. Only a strong data governance program on top of a modern, collaborative data hub ensures that you have the policies, standards, and controls in place to enforce compliance.
This presentations outlines the practical steps to deploy governed data services that:
Know your customers and employees with a data inventory
Track and trace data using audit trails and data lineage
Manage and propagate opt-in consent across customer-facing applications
Reconcile and protect your sensitive data in a data hub with automated controls, data stewardship, and data masking
Respect the rights for your data subjects with collaborative data management and portals
7 best tips to winning successful data governance shopiawilson
In this PPT, We describing the, 7 best tips winning successful data governance. data governance approach ensures that fair people are assigned the right data responsibilities.
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
Collibra Data Citizen '19 - Bridging Data Privacy with Data Governance BigID Inc
This presentation was shown at the 2019 Collibra Data Citizen Event in New York City.
Presented by Nimrod Vax, Chief Product Officer & Co-Founder & Joaquin Sufuentes, Lead Architect, Metadata Managment and Personal Infomation Protection, enterprise Data Managment, Intel IT
Considers several ways in which data can help philanthropic organizations improve their missions, as well as pathways toward making philanthropy more data-driven.
Broadly speaking, when analyzed responsibly data and data science can provide philanthropies with an improved analysis or understanding of the situation or problem; help predict future trends or help evaluate the impact of investments made.
This in turn can perfect the way philanthropies function in three broad ways:
First, having access to data and data science can influence the overall operations of philanthropies, making them run more efficiently.
Second, data can transform how philanthropies are governed, making them more accountable — a topic of major importance in the current philanthropic landscape.
Third, data can increase the impact of an organization’s mission by allowing them to make evidence-based decisions and continuously adjust their activities to take account of realities on the ground.
Alignment: Office of the Chief Data Officer & BCBS 239Craig Milroy
Alignment: Office of the Chief Data Officer & BCBS 239. Alignment overview between OCDO framework and Principles for Effective Risk Data Aggregation and Risk Reporting.
Business can't wait to turn data into insights, which means they often can't wait for IT. But that increases the risk of bad data and inaccurate results. Learn how IT can engage the business to accelerate data integration, build perfect, trusted, and compliant data; and increase data usage and time-to-insight.
Delivering analytics at scale with a governed data lakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics Theatre
Time: 11:50 - 12:20
Speaker: Matt Pepper
Organisation: MIcroStretegy
About: In this session, Matt Pepper will demonstrate how MicroStrategy enables an Enterprise to provide:
• Governed Data Discovery at scale
• Freedom for departments to build applications whilst remaining compliant
• The capability to link disparate data into a cohesive platform
• The right information to the right person, in the right format, at the right time
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
Organizations need to tap into the huge potential of their vast volumes of data, but a use case tactical approach is not going to work. Instead, they need to work in the definition of a data strategy linked to the most relevant goals for the enterprise.
Big Data Analytics in Bangladesh | Pridesys IT LtdPridesys IT Ltd.
Big Data Analytics in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | data science companies in bangladesh
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
From the 2014 Strata Conference + Hadoop World in New York City, Sharmila Mulligan's keynote, "Data & The New Era of Interactive Storytelling." Data is an evolving story. It’s not a static snapshot of a point in time insight. With data from internal and external sources constantly updating, we are evolving from rear-view mirror dashboard views into an era of interactive Storytelling. Data Storytelling is both a visual art and a method of interpreting analytic results. Data Stories shed insights every minute, every hour, everyday, every week. This keynote will discuss how data dashboards are no longer adequate and how companies are using Interactive Storytelling to discover faster insights across many disparate data sources.
To view keynote presentation, visit:
http://www.clearstorydata.com/videos/data-new-era-interactive-storytelling/
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
7 best tips to winning successful data governance shopiawilson
In this PPT, We describing the, 7 best tips winning successful data governance. data governance approach ensures that fair people are assigned the right data responsibilities.
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
Collibra Data Citizen '19 - Bridging Data Privacy with Data Governance BigID Inc
This presentation was shown at the 2019 Collibra Data Citizen Event in New York City.
Presented by Nimrod Vax, Chief Product Officer & Co-Founder & Joaquin Sufuentes, Lead Architect, Metadata Managment and Personal Infomation Protection, enterprise Data Managment, Intel IT
Considers several ways in which data can help philanthropic organizations improve their missions, as well as pathways toward making philanthropy more data-driven.
Broadly speaking, when analyzed responsibly data and data science can provide philanthropies with an improved analysis or understanding of the situation or problem; help predict future trends or help evaluate the impact of investments made.
This in turn can perfect the way philanthropies function in three broad ways:
First, having access to data and data science can influence the overall operations of philanthropies, making them run more efficiently.
Second, data can transform how philanthropies are governed, making them more accountable — a topic of major importance in the current philanthropic landscape.
Third, data can increase the impact of an organization’s mission by allowing them to make evidence-based decisions and continuously adjust their activities to take account of realities on the ground.
Alignment: Office of the Chief Data Officer & BCBS 239Craig Milroy
Alignment: Office of the Chief Data Officer & BCBS 239. Alignment overview between OCDO framework and Principles for Effective Risk Data Aggregation and Risk Reporting.
Business can't wait to turn data into insights, which means they often can't wait for IT. But that increases the risk of bad data and inaccurate results. Learn how IT can engage the business to accelerate data integration, build perfect, trusted, and compliant data; and increase data usage and time-to-insight.
Delivering analytics at scale with a governed data lakeJean-Michel Franco
Data privacy is on everyone's mind right now. Regulations such as GDPR, as well as public sentiment, mean that governance and compliance are must-have capabilities for data lakes. Learn how to curate meaningful data from your data lake, accelerate governance and compliance, and enable your organization with searchable, trusted datasets.
Big Data LDN 2018: INTELLIGENCE EVERYWHERE – POWER TO THE PEOPLEMatt Stubbs
Date: 13th November 2018
Location: Self-Service Analytics Theatre
Time: 11:50 - 12:20
Speaker: Matt Pepper
Organisation: MIcroStretegy
About: In this session, Matt Pepper will demonstrate how MicroStrategy enables an Enterprise to provide:
• Governed Data Discovery at scale
• Freedom for departments to build applications whilst remaining compliant
• The capability to link disparate data into a cohesive platform
• The right information to the right person, in the right format, at the right time
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
Organizations need to tap into the huge potential of their vast volumes of data, but a use case tactical approach is not going to work. Instead, they need to work in the definition of a data strategy linked to the most relevant goals for the enterprise.
Big Data Analytics in Bangladesh | Pridesys IT LtdPridesys IT Ltd.
Big Data Analytics in Bangladesh | Enterprise Resource Planning (ERP) Software System | Pridesys IT Ltd, Different Innovation and Excellence | data science companies in bangladesh
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
From the 2014 Strata Conference + Hadoop World in New York City, Sharmila Mulligan's keynote, "Data & The New Era of Interactive Storytelling." Data is an evolving story. It’s not a static snapshot of a point in time insight. With data from internal and external sources constantly updating, we are evolving from rear-view mirror dashboard views into an era of interactive Storytelling. Data Storytelling is both a visual art and a method of interpreting analytic results. Data Stories shed insights every minute, every hour, everyday, every week. This keynote will discuss how data dashboards are no longer adequate and how companies are using Interactive Storytelling to discover faster insights across many disparate data sources.
To view keynote presentation, visit:
http://www.clearstorydata.com/videos/data-new-era-interactive-storytelling/
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Information Excellence for Digital TransformationMethod360
Companies that are moving, or considering moving to S/4HANA to make business decisions that will achieve a real-time market, can only accomplish this if their data is accurate and up to date at the time of migration. Information Excellence gives your company the advantage of doing business in real time with centralized and correct data and master data, while other companies are making critical business decisions on outdated content.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
Slides: Empowering Data Consumers to Deliver Business ValueDATAVERSITY
Today, the role of Chief Data Officers and their teams has expanded from risk and compliance-based activities to delivering business value through trusted data. With the exponential growth in data and data consumers throughout an organization, ensuring that everyone gets the information that they need — and that it can be relied upon — is no small feat. CDOs need to rely on modern Data Governance leaders to discover where all of the data lives, define the context, measure the quality, ensure privacy, and then democratize data to empower the rest of the organization. Join us for this informative webinar as we highlight the challenges of today’s data leaders, how they can democratize trusted, secure data, and ultimately discover how to deliver business value.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
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.
1. Every Big Data Analytics journey is unique
It pays to have a solid strategy and apposite roadmap,
regardless of where you're in your journey
2. 2
In 2016, Hadoop distributions spend across
industries spiked by 40%. Yet, only 4% were set up
for success, as per a leading Industry Analyst
report.
3. 3
Enterprises often jump the gun in their
quest to link information assets with
strategic value, and end up locking
huge investments upfront in rigid
architectures.
4. 4
Every enterprise's Big Data Analytics journey is unique and each enterprise should move in its
own pace. Whether you're getting started or expanding Big Data usage to more use cases, it
pays to have a solid strategy and roadmap in place.
5. 5
We leverage Design Thinking to
understand your Big Data and
Analytics needs, maturity, and
delivery capabilities before
devising right-fit Big Data Analytics
strategy and apposite roadmap.
Our solutions are grounded on
architectural approaches that align
delivery with business mandates
and organization readiness.
6. About Agilisium
United States
California – Corporate
2629, Townsgate Road, Suite 235, Westlake Village, CA
91361
Virginia
1775 Tysons Boulevard, McLean, VA 22102
Virginia
13800 Coppermine Road, Suite 306,
Herndon, VA 20171
Costa Rica
Heredia
De la escuela de Estados Unidos de America,
2km Norte y 700 oeste, Residencial Villa Flores, Casa 6-
i, San Joaquin, Flores, Heredia, Costa Rica
India
Chennai – Offshore Development Centre
No: 334, 4th floor, Block #2, Futura IT Park,
Rajiv Gandhi Salai, Chennai – 600119, India
Contact
Phone : +1-323-454-0335
Email : contact@agilisium.com
Website : www.agilisium.com
Agilisium is a digital system integrator delivering innovative big data, analytics, and insights based services on cloud.
Implementing design thinking approach, Agilisium helps clients identify unprecedented customer insights, uncover
internal/external data that are critical to accelerate decision-making and build robust systems that are critical to succeed in
digital transformation. With deep expertise in designing and delivering large scale solutions, from cloud-based EDW to scale-
out-data-lake to advanced predictive analytics, Agilisium helps clients realize ROI in 12 to 18 months, with a minimum of 30
percent TCO reduction.