Advanced Analytics

Posted by Phillip Schell May 16, 2018 11:32:00 AM

Mckinsey & Company just released this POV and challenge on Analytics for asset owners. We agree and our Analytics Cloud for Construction application answers this challenge!

analytics

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Topics: Data Analytics, Self-Service Analytics

Analytics in the cloud

Posted by Phillip Schell May 7, 2018 1:17:26 PM
I would like to submit this idea for true discussion. Joint ventures are a growing concept to manage risk on large projects, but when companies come together bring disparate applications to manage their portion of the work it becomes difficult to have a screenshotsingle source of the truth on the health of the project. Our Analytics Cloud for Construction which is totally agnostic to any application can provide that single source of the truth and allow JV members to use their own systems. Comments? 
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Topics: cloud, Self-Service Analytics, Cloud Computing, Data Analytics, construction, productivity

Driving Project Certainty with Next Generation Analytics

Posted by Phillip Schell Jan 29, 2018 11:37:47 AM

Sorry you missed the webinar! 

Please stay tuned.  It will be posted OnDemand soon.

 

Analytics Cloud For Construction

B4 Consulting has developed a stand-alone solution for the entire construction market.  Our Analytics Cloud for Construction app will be a game-changer in this industry. We are offering a complimentary webinar to introduce you to this efficient and easy eay to meet business objectives, manage risks and grow your business. Please register at the link below to learn more.

The construction industry is one of the world economy’s largest sectors, with $10 trillion spent on construction-related goods and services every year. In a low margin industry with capital-intensive projects, success can depend on tightly monitoring and controlling the performance of projects. The SAP® Analytics Cloud for Construction solution can make this task easier by helping managers identify issues, derive insights, make optimal decisions, and take action.

SAP has had a dedicated industry practice since 1996, serving a customer base that includes over 3000 companies globally. We see the challenges posed by globalization, resource constraints, and increasing project complexity and risk. We are working with our customers on a variety of fronts to meet and defeat these challenges.

SAP is committed to partnering with customers to help:

  • Provide timely, accurate information in real-time
  • Tightly monitor and control project performance
  • Detect and mitigate risk early in the project lifecycle
  • Give project executives appropriate information to make better decisions
  • Avoid time and resources involved with developing customer-specific analytics content
This webinar will showcase our partner, B4 Consulting, and how they’ve created a construction/project specific deployment of world-class analytics in the cloud.  B4 Consulting integrates business processes and technologies globally for customers who want to transform their businesses with innovative on-premise and cloud-based solutions.  B4 Consulting’s team of solution architects integrates these solutions with leading systems, such as SAP solutions, to enable business performance excellence and improved profitability. Partnering with customers throughout the U.S. and Canada, B4 Consulting has the largest practice in North America dedicated to the engineering, construction, real estate, equipment management, field services and professional services industries. www.b4-consulting.com.

 

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Topics: Data Analytics, cloud, solutions, Cloud Computing, Engineering and Construction, B4 Consulting, Self-Service Analytics

Why All the Buzz About Self-Service Analytics?

Posted by John Reid May 18, 2017 3:47:13 PM

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Data analytics is a data-centric approach to decision making. Self-service analytics is an approach to data analytics that enables business users to access and analyze their corporate data with minimal skills in business intelligence and data mining. This is achieved through the use of tools that simplify the business users’ ability to access corporate data and the ease in which they can manipulate that data to uncover important insights and trends.

Barriers to Self-Serve Analytics

Most business users are hesitant to dive into a new self-service analytic tool. The idea of taking the time to learn a new application to the point where you are comfortable is disheartening to the average business user.  Just rolling out the installation of the tool and providing basic documentation on typical functionally or work flows will only result in failure.  Having a good IT support system to help guide users in the use of self-service analytic tools is critical for the success of the self-serve BI initiative.  Hands-on training workshops, with corporate test data and real business process scenarios, will go a long way to ensure end user acceptance. 

It is important that business users in the organization understand the main intent for the self-serve analytic tool. Expecting to produce or replace existing corporate executive dash boards with a few hours of effort in a self-serve analytic tool is not going to produce successful results.  The focus should be on discovery of current conditions and treads that can influence organization KPIs related to cash flow or production performance.  For example: Why is sales revenue down in store X this month?  Can we determine why Plant Y is seeing a 28% increase in productivity?  Having a clear understanding of the tools’ intent will help users focus on getting the most out of their efforts.

Self-Serve Analytics – The Road to Success

In order for self-serve analytics to be successful the user interface needs to be intuitive, with a development canvas and navigation functionality that is user friendly. Successful self-serve analytic reports tell stories.  They combine data facts with business knowledge to bring out hidden business insights. They help you show the root causes to business problems and can help provide solutions to resolve those problems.

Training is needed to help users understand what corporate data is available and how that information should be accessed. IT also needs to focus on maintaining the corporate data warehouse and data marts to ensure that business users have the right data at the right time.  With the right training and data business users can build their own queries and customize their own reports and dashboards with minimal effort and maximum benefit.

It is important to note that while self-serve analytics can provide business users with an easy to use tool that greatly increases their ability to access and consume data, it can also bring confusion and mistrust if there is no corporate data governance processes in place. Data made available to your self-serve analytics tools must be relevant, accurate, and timely.  The data provided needs to help resolve business problems not create new ones. This requires a data governance policy that maintains data consistency and quality though out the organization using constant monitoring and review processes so business users have confidence in the data they are using.

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                 GEO analysis made easy with SAP Business Objects Lumira

Summary

Self-service analytics will not replace traditional business intelligence or remove the need for data scientists.  Organizations will still benefit greatly with operational and strategic reporting and complex data analysis that can be captured in a traditional BI system with the assistance of data scientists. Self-service analytics enhances the BI offering by allowing core business users to generate new business insights and use these insights to make more informed decisions.

B4 Consulting can provide assistance with implementing a good self-serve analytic strategy, which will integrate with and complement existing BI initiatives. Data preparation processes that adhere to corporate data governance policies and business user training are the key components in a successful self-serve analytic initiative. 

SAP Lumira offers a very insightful and user-friendly interface that supports self-serve analytics development. Seamless integration with the Business Objects BI Platform exposes all of the rich functionality of a secure BI platform while providing users the flexibility of both desktop and web-based development environments.

For more information on how self-serve analytics can engage more employees to help give your organization a competitive edge -- contact me at B4 Consulting -- jre@b4-consulting.com

About the Author

John Reid is an Analytics, Mobility & Technology Consultant at B4 Consulting.He can be reached at

jre@b4-consulting.com 

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Topics: Business Intelligence, Self-Service Analytics, SAP Lumira, SAP, Data Analytics, B4 Consulting