By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
    benefits of data analytics for financial industry
    Fascinating Changes Data Analytics Brings to Finance
    7 Min Read
    analyzing big data for its quality and value
    Use this Strategic Approach to Maximize Your Data’s Value
    6 Min Read
    data-driven seo for product pages
    6 Tips for Using Data Analytics for Product Page SEO
    11 Min Read
    big data analytics in business
    5 Ways to Utilize Data Analytics to Grow Your Business
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Reinventing the Analytics Experience, Sideways
Share
Notification Show More
Latest News
cloud-centric companies using network relocation
Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation
Cloud Computing
construction analytics
5 Benefits of Analytics to Manage Commercial Construction
Analytics
database compliance guide
Four Strategies For Effective Database Compliance
Data Management
Digital Security From Weaponized AI
Fortifying Enterprise Digital Security Against Hackers Weaponizing AI
Security
DevOps on cloud
Optimizing Cost with DevOps on the Cloud
Development
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Reinventing the Analytics Experience, Sideways
Uncategorized

Reinventing the Analytics Experience, Sideways

Timo Elliott
Last updated: 2015/10/21 at 6:46 AM
Timo Elliott
5 Min Read
SHARE
- Advertisement -

Over the last quarter-century, the analytics industry has slowly gathered a lot of different technology options. Starting with simple reporting, there has been a steady increase in the number of different features available. These include data integration and data quality, data exploration and data visualization, predictive analytics, and specialized tools for areas such as map-based analytics and text analytics. And finance users have had their own selection of analysis tools, including budgeting and planning, and scorecard systems for tracking high-level KPIs.

Over the last quarter-century, the analytics industry has slowly gathered a lot of different technology options. Starting with simple reporting, there has been a steady increase in the number of different features available. These include data integration and data quality, data exploration and data visualization, predictive analytics, and specialized tools for areas such as map-based analytics and text analytics. And finance users have had their own selection of analysis tools, including budgeting and planning, and scorecard systems for tracking high-level KPIs.

- Advertisement -

At one level all of these tools do the same thing: help organizations get the most value possible out of their information assets. But the different technologies typically came from different backgrounds and traditions, and were originally designed for different types of users.

Over time, the needs of different types of business users have blurred. Today if you want to fully leverage all of these different features across the organization, or as an individual, you typically have to install lots of different servers and interfaces. The resulting complexity has limited how much organizations have actually implemented.

More Read

big data improves

3 Ways Big Data Improves Leadership Within Companies

IT Is Not Analytics. Here’s Why.
Romney Invokes Analytics in Rebuke of Trump
WEF Davos 2016: Top 100 CEO bloggers
In Memoriam: Robin Fray Carey

SAP Cloud for Analytics CartoonBut what if you could do all of this with a single, blazingly-fast platform that you didn’t even have to install? And you could provide a single interface that blended the best of all of these capabilities to reflect the new, more agile world of work?

That’s the primary innovation behind SAP Cloud for Analytics, based on SAP HANA. All the engines that you might need for analytics are now available directly within the SAP HANA platform — not just advanced querying, data exploration, and native support for hierarchies, but also data integration and data quality algorithms, complex event processing, budgeting and predictive algorithms, text analytics, geo-spatial calculations and more.

Having all this functionality in a single platform means you’re no longer constrained by the historical feature silos. It holds out the promise of new ways of working that let you freely combine different aspects of analytics without having to jump between separate tools.

- Advertisement -

For example, you could:

  • Easily integrate and cleanse combinations of corporate, personal, and third-party data, whether it’s from on-premise systems or in the cloud.
  • Provide more insightful, accurate budget forecasts using predictive algorithms on “signal” data, such as customer sentiment.
  • Easily combine and analyze structure and unstructured data, whether it’s stored in relational databases, platforms such as Hadoop, or Google sheets.
  • Use predictive algorithms to automatically identify data outliers and trends, cluster data into meaningful groups, or determine the key factors that influence the desired outcomes.
  • Augment data exploration with sophisticated geographical mapping
  • Get closer to the vision of “Big Data Discovery”
  • And much, much more.

And because of SAP HANA’s powerful “HTAP” capabilities, all this can be carried out on real-time operational data. The instant a row-level transaction hits the system, the data is immediately available for sophisticated analysis, without requiring slow, batch-based aggregations.

The future of analytics is using the power of today’s in-memory platforms to fundamentally rethink interfaces, breaking down historic silos and giving business people the power to combine all of the best of analytics and planning.

SAP Cloud for Analytics is in the forefront of this new era. To find out more, visit www.sapcloudanalytics.com

Timo Elliott October 21, 2015
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
- Advertisement -

Follow us on Facebook

Latest News

cloud-centric companies using network relocation
Cloud-Centric Companies Discover Benefits & Pitfalls of Network Relocation
Cloud Computing
construction analytics
5 Benefits of Analytics to Manage Commercial Construction
Analytics
database compliance guide
Four Strategies For Effective Database Compliance
Data Management
Digital Security From Weaponized AI
Fortifying Enterprise Digital Security Against Hackers Weaponizing AI
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data improves
Big DataJobsKnowledge ManagementUncategorized

3 Ways Big Data Improves Leadership Within Companies

6 Min Read
Image
Uncategorized

IT Is Not Analytics. Here’s Why.

7 Min Read

Romney Invokes Analytics in Rebuke of Trump

4 Min Read

WEF Davos 2016: Top 100 CEO bloggers

14 Min Read

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

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?