Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Reinventing the Analytics Experience, Sideways
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
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
Timo Elliott
5 Min Read
SHARE

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.

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

Image
Efficient DAM Systems for Revitalizing the Content Marketing Platform
Twelve Principles of DoD Cyber Conflict
Podcast with Amy Wohl about Cloud Computing
How Do I Blog So Much?
Mad Men Yourself

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.

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

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data science professor
The Power of Warm-Ups: Setting the Stage for Learning
Exclusive News
cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Practical Change Management: The Top Ten Countdown – No. 8

2 Min Read

Map-reduce in R with Amazon EMR

2 Min Read

People, Process & Politics: Business & Integration

6 Min Read

Fiskateers

3 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?