10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Traditionally, IT departments have primarily been responsible for sourcing analytical software tools
and carrying out complex data analysis for their organizations. As companies push for improved operational insight, they demand greater amounts of data analysis. As a result, IT departments increasingly find themselves struggling to keep up with the volume of incoming requests. A new set of software tools built specifically to empower data analysts in line-of-business teams offer an important opportunity to address this concern. They provide the benefits of data analysis without placing burdens on the IT department.
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Traditionally, IT departments have primarily been responsible for sourcing analytical software tools
and carrying out complex data analysis for their organizations. As companies push for improved operational insight, they demand greater amounts of data analysis. As a result, IT departments increasingly find themselves struggling to keep up with the volume of incoming requests. A new set of software tools built specifically to empower data analysts in line-of-business teams offer an important opportunity to address this concern. They provide the benefits of data analysis without placing burdens on the IT department.
Oceans of big data: Take the plunge or wade in slowly?Deloitte Canada
In a recent study, Deloitte identified some of the hurdles that keep organizations from making greater use of business analytics. These include poor technology infrastructure, the quality and amount of data being collected and leadership that may not support or even understand the use of analytics.
This presentation defines big data, explains why you should care about big data, and suggests when big data should be used. The potential of big data is immense, but it can also become an expensive distraction. Once you remove constraints on the size, type, source and complexity of useful data, you can ask the ‘crunchy’ questions that are critical to the success of your business.
To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market
In this document, the five disruptive trends shaping the corporate IT landscape today are layed out. Out of the five, Big Data has the biggest potential to generate new sustainable competitive advantages. But the benefits will remain out of reach of many organizations as they struggle to adopt the technology, develop new capabilities, and manage the cultural change associated with the use of big data. This document offers a pragmatic approach to generating business value.
World Wide Web has completely changed the dynamics and conventional meaning of operating and managing a business. It has opened new avenues through seamless interaction between consumers and business houses. In the process it has flooded
The World Wide Web with unimaginable volumes of data, for instance according to an estimate the average volume of data created in a single day is easily around 2.5 quintillion bytes.
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Oceans of big data: Take the plunge or wade in slowly?Deloitte Canada
In a recent study, Deloitte identified some of the hurdles that keep organizations from making greater use of business analytics. These include poor technology infrastructure, the quality and amount of data being collected and leadership that may not support or even understand the use of analytics.
This presentation defines big data, explains why you should care about big data, and suggests when big data should be used. The potential of big data is immense, but it can also become an expensive distraction. Once you remove constraints on the size, type, source and complexity of useful data, you can ask the ‘crunchy’ questions that are critical to the success of your business.
To be updated is not enough for companies today. Organizations must be constantly watching also to the trends in order to predict and forecast the next steps for their business. The following document is a Executive Summary of the current situation but also of the more notable trends that will help to understand the basics of the Analytics Market
In this document, the five disruptive trends shaping the corporate IT landscape today are layed out. Out of the five, Big Data has the biggest potential to generate new sustainable competitive advantages. But the benefits will remain out of reach of many organizations as they struggle to adopt the technology, develop new capabilities, and manage the cultural change associated with the use of big data. This document offers a pragmatic approach to generating business value.
World Wide Web has completely changed the dynamics and conventional meaning of operating and managing a business. It has opened new avenues through seamless interaction between consumers and business houses. In the process it has flooded
The World Wide Web with unimaginable volumes of data, for instance according to an estimate the average volume of data created in a single day is easily around 2.5 quintillion bytes.
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
Data Science is in high demand, the melting pot
of complex skills requires a qualified data scientist have made them the unicorns in today's data-driven landscape.
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
AI is a data-driven game,
hands down, but predictions
will be accurate only if the
training data used to teach
the AI prediction model is truly
representative of the target
cases being classified or
predicted. If I had to put it in
one term, AI is basically about
decision-making—smarter
decision-making.”
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
Data science and data analytics major similarities and distinctions (1)Robert Smith
Those working in the field of technology hear the terms ‘Data Science’ and ‘Data Analytics’ probably all the time. These two words are often used interchangeably. Big data is a major component in the tech world today due to the actionable insights and results it offers for businesses. In order to study the data that your organization is producing, it is important to use the proper tools needed to comprehend big data to uncover the right information. To help you optimize your analytics, it is important for you to examine both the similarities and differences of data science and data analytics.
Future-Proof Your Business Processes by Automating SAP S/4HANA processes with...SAP Technology
Automating repetitive manual business processes enables your employees to focus on key business priorities, reduce manual errors, and improve customer satisfaction. Learn how SAP Intelligent Robotic Process Automation helps you automate SAP S/4HANA business processes with pre-built bots and comprehensive development toolset.
7 Top Reasons to Automate Processes with SAP Intelligent Robotic Processes Au...SAP Technology
SAP Intelligent Robotic Processes Automation (RPA) is designed to automate SAP S/4HANA processes and comes with prebuilt bots to accelerate automation. Enable employees to focus on higher priority tasks, reduce manual errors, and increase customer satisfaction by automating repetitive manual SAP S/4HANA process steps using SAP Intelligent RPA.
Extend SAP S/4HANA to deliver real-time intelligent processesSAP Technology
Accelerate your journey towards an intelligent enterprise. Extend SAP S/4HANA with SAP’s business technology platform to make data from all sources available to business applications and analytics, deliver real-time insights to act quickly, augment intelligence, and enable breakthrough innovations.
Process optimization and automation for SAP S/4HANA with SAP’s Business Techn...SAP Technology
As you move to SAP S/4HANA, take this opportunity to optimize and automate your business processes to become an intelligent enterprise. With SAP’s business technology platform, you can understand your processes, integrate SAP and non-SAP apps with S/4HANA and help your knowledge works focus on higher-value tasks by automating repetitive manual tasks.
Accelerate your journey to SAP S/4HANA with SAP’s Business Technology PlatformSAP Technology
Best run companies are already benefiting from SAP S/4HANA. Move to SAP S/4HANA quickly with confidence. SAP EIM and SAP Cloud Platform capabilities help you migrate data, curate, and govern master data, archive unused data, move custom code. With performance, functional, and security test tools, customers can move to SAP S/4HANA with confidence.
Accelerate Your Move to an Intelligent Enterprise with SAP Cloud Platform and...SAP Technology
Manage rapidly evolving business processes with greater ease. Minimize complex, time-consuming updates. Reduce high maintenance costs. Discover how enterprise IT teams are conquering the challenges of migrating from legacy ERP systems and innovating faster with SAP Cloud Platform and SAP S/4HANA.
Transform your business with intelligent insights and SAP S/4HANASAP Technology
Extend SAP S/4HANA with SAP’s Business Technology Platform to enable digital transformation through data-driven intelligence and process innovation. Learn how SAP’s Business Technology Platform delivers unprecedented opportunities for business process innovation.
SAP Cloud Platform for SAP S/4HANA: Accelerate your move to an Intelligent En...SAP Technology
Keep SAP S/4HANA clean to deliver a stable digital core and accelerate innovations. Leverage SAP Cloud Platform for SAP S/4HANA integration with SAP and non-SAP applications, side-by-side extensions, and innovations so that you can accelerate your move to SAP S/4HANA, deliver a stable S/4HANA system, and offer an agile development.
Innovate collaborative applications with SAP Jam Collaboration & SAP Cloud Pl...SAP Technology
Learn how SAP Jam Collaboration together with SAP Cloud Platform helps you to transform your existing applications by enabling collaboration inside applications and allows you to innovate next-generation collaborative applications. SAP Jam Collaboration also simplifies application development by providing a single platform to brainstorm, collaborate, share documents and track progress and streamline application roll-out and support by providing a place to share training material and self-service support forums. With SAP Jam Collaboration, you can also build a modern intranet with collaboration capabilities which is easy to update and accessible from mobile and outside corporate network. You can simplify IT landscape by consolidating software solutions such as document storage systems, blogging platform, wikis, collaboration platform and real-time messaging tools using SAP Jam Collaboration.
This presentation talks about how SAP S/4HANA can empower finance to strategically guide your business evolution via instant insights, intuitive user experience, and a flexible non-disruptive platform.
Five Reasons To Skip SAP Suite on HANA and Go Directly to SAP S/4HANASAP Technology
Don’t burn extra resources. Read on to discover five reasons to fly direct to SAP S/4HANA instead of adding a layover at SAP Suite on Hana (SoH) on the way.
SAP Helps Reduce Silos Between Business and Spatial DataSAP Technology
Discover how spatial solutions from SAP can help your business leverage geographic and spatial data to deliver location intelligence, increase insight, and improve efficiency. Solutions include SAP HANA, SAP BusinessObjects Analytics, SAP Geographical Enablement Framework, SAP GEO.e, Galigeo.
This presentation is a supplement to the "Why SAP HANA?" video on Youtube. Download and follow along to the video. An added bonus to this presentation is an Appendix and Presentation Notes slides.
Video Link: https://www.youtube.com/watch?v=VCEr9Y8ZrVQ
Spotlight on Financial Services with Calypso and SAP ASESAP Technology
Capital markets solutions from Calypso and SAP ASE can help your organization reduce the total number of systems in use, simplify business architecture, streamline processes, and improve efficiency – all while reducing total cost of ownership.
1. The route to real-time business*
the distinction between transactional and analytical data
will fade. Companies will finally be able to run a real-time
enterprise that simultaneously transacts, analyzes, and acts.
*IDC InfoDoc, sponsored by SAP, Blueprint for Success: Ingraining Insights into the DNA of People and Process, June 2013
You need three things to become
a real-time business:
1 Real-time insights
2 Predictive analytics
3 Information from multiple
devices and locations.
Uncompetitive organizations
make their people wait
than industry leaders for quality
information on which
to base decisions.
3x LONGER
Most IT departments aspire to
a single-platform data strategy
most ITdepartments don’t have
a data strategy of any kind.
of the most competitive
organizations use data-
driven decision making (only 58%
of uncompetitive organizations do).
The days of “gut feel” are over.
80%
Within 5 years
Gaining the edge
Without a single platform strategy, organizations will
struggle to integrate and interpret structured and
unstructured data. This is what they are saying:
The answer lies in new data technologies that
are integrated, memory-based, and flexible.
Software isn’t flexible enough
Interface isn’t intuitive
Information is not fit for purpose
There’s no support for predictive analytics
Data isn’t detailed enough
System performance is low
36%
31%
30%
Data is not updated often enough30%
27%
26%
20%
Companies want and need real-time data. Static processes are no longer
acceptable. Operations have to adapt immediately. Decisions must be
based on the very latest information. Get it right and you have a powerful
competitive edge. Here, IT market intelligence experts from IDC present
a compelling case that a single-platform data strategy is the key to the
real-time enterprise.
Data and business process must come together,
so technology drives business innovation.
Out with the old supplier model of
business users vs. IT.
In with the new partnership model where IT
supports specific business functions.
BUT