By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data-driven white label SEO
    Does Data Mining Really Help with White Label SEO?
    7 Min Read
    marketing analytics for hardware vendors
    IT Hardware Startups Turn to Data Analytics for Market Research
    9 Min Read
    big data and digital signage
    The Power of Big Data and Analytics in Digital Signage
    5 Min Read
    data analytics investing
    Data Analytics Boosts ROI of Investment Trusts
    9 Min Read
    football data collection and analytics
    Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: How Smart Data Lakes are Revolutionizing Enterprise Analytics
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > How Smart Data Lakes are Revolutionizing Enterprise Analytics
AnalyticsBig DataData ManagementData WarehousingText AnalyticsWorkforce AnalyticsWorkforce Data

How Smart Data Lakes are Revolutionizing Enterprise Analytics

Sean Martin
Last updated: 2016/06/03 at 6:58 PM
Sean Martin
5 Min Read
SHARE

As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Fortunately, recent developments in big data technologies have significantly impacted the proficiency of contemporary analytics – the most profound of these involving the deployment of semantically enhanced Smart Data Lakes.

As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Fortunately, recent developments in big data technologies have significantly impacted the proficiency of contemporary analytics – the most profound of these involving the deployment of semantically enhanced Smart Data Lakes.

Defined as centralized repositories, Smart Data Lakes enable organizations to analyze alldata assets with a specificity and speed that wasn’t previously available, revolutionizing the scope and focus of analytics. The value derived from this approach improves the analytics process and expedites conventional data preparation. By understanding data’s meaning prior to conducting analytics, users are able to vastly improve the type of analytics performed while pinpointing results for specific uses.

More Read

big data and IP laws

Big Data & AI In Collision Course With IP Laws – A Complete Guide

Upskilling for Emerging Industries Affected by Data Science
Data Security Unveiled: Protecting Your Information in a Connected World
Green Data Centers Make Data-Driven Entities More Sustainable
NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI

These new Smart Data Lakes go beyond the inflexible relational data warehouse and the unwieldy Hadoop-only data lake, disrupting the way IT and businesses alike manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed.

The Benefit of Smart Data Lakes

Organizations truly reap the benefits of utilizing Smart Data Lakes, the primary being the newfound ability to incorporate an organization’s entire information assets with the notion of scalable semantics. With the concept of semantics at scale, an RDF graph query engine is able to analyze billions of triples (the atomic unit of data in the semantic web) in a short amount of time. The result? The ability to issue more queries, utilize more data and get results quicker, so that all enterprise data becomes relevant.

Smart Data Lake Use Case Examples

Today, many companies are applying semantic analytics tools with scalable graph-based database technology that provide a quick and easy path to query and analyze Data Lakes effectively.

Smart Data Lake solutions permit organizations to focus on the data that provides real business benefit.  Currently, Smart Data Lakes are being adopted by pharma and financial institutions in use cases ranging from competitive intelligence and insider trading surveillance, to investigatory analytics and risk and compliance.

For instance, the regulatory reporting environment for financial institutions is evolving quickly, placing unprecedented demands on legacy processes and technology. Two areas where new smart data solutions are already adding value for banks include report preparation as well as data and technology.

Smart Data Lakes also improve the quality of your competitive intelligence by allowing subject-matter experts to curate, correct, and augment the data they know best.

For instance, top pharma companies are using Smart Data Lakes to proactively monitor the industry and receive alerts when key developments occur around drugs, companies, targets, disease areas, or geographies of interest.  The alerts draw on private, public, and proprietary sources such as Citeline or Thomson Reuters to give senior decision-makers update that summarize drug development activities of interest to them. The speed, accuracy and completeness of data that is delivered to stakeholders can make all the difference between a blockbuster drug or an expensive failed experiment.

These Smart Data Lake industry use cases are only the beginning of a revolution in big data analysis. The unique attributes of Smart Data Lakes incorporating graph-based technologies and semantic standards are enabling the democratization of data science, data discovery and questions, promising answers to new questions to a far wider group of business users across the enterprise than ever before.

For more information on Smart Data Lakes, read Cambridge Semantics’ recent white paper.   

Sean Martin June 3, 2016 June 3, 2016
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Sean Martin
Follow:
Sean Martin has been on the leading edge of Internet technology innovation since the early nineties. His greatest strength has been the identification and pioneering of next generation software & networking technologies and techniques. Prior to founding Cambridge Semantics, the leading provider of smart data solutions driven by semantic web technology, he spent fifteen years with IBM Corporation where he was a founder and the technology visionary for the IBM Advanced Internet Technology group.He is a native of South Africa, has lived for extended periods in London, England and Edinburgh, Scotland, but now makes his home in Boston, Mass.

Follow us on Facebook

Latest News

big data and IP laws
Big Data & AI In Collision Course With IP Laws – A Complete Guide
Big Data
ai in marketing
4 Ways AI Can Enhance Your Marketing Strategies
Marketing
sobm for ai-driven cybersecurity
Software Bill of Materials is Crucial for AI-Driven Cybersecurity
Security
IT budgeting for data-driven companies
IT Budgeting Practices for Data-Driven Companies
IT

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data and IP laws
Big Data

Big Data & AI In Collision Course With IP Laws – A Complete Guide

5 Min Read
data science upskilling
Big Data

Upskilling for Emerging Industries Affected by Data Science

10 Min Read
data security unveiled
Security

Data Security Unveiled: Protecting Your Information in a Connected World

8 Min Read
green data center
Big Data

Green Data Centers Make Data-Driven Entities More Sustainable

12 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?