Wednesday, November 28, 2018

2019 Technology and IT Predictions

Every year, the team at Approyo gathers a few predictions for the upcoming year. This year we decided to make two lists, one focused on the IT and business world and the other focused on consumer technology.

Top IT predictions for 2019
  • Intelligent Data – Businesses are now understanding the impact of big data in the marketplace. The next step is using all that data in intelligent ways to be able to grow your business. In 2018, SAP introduced the concept of “Intelligent Enterprise”. This gives businesses the technology solutions needed to use all the data and make intelligent decisions to improve business, 
  • AI and Machine Learning - Creating systems that learn, adapt and potentially act autonomously. In 2019 and beyond, these systems will work with people to create better business processes and improve the bottom line. SAP continues to innovate with SAP Leonardo. It has many features for AI and Machine Learning that can help companies today. 
  • Security – As we mentioned in our first bullet point, data is one of the most important aspects of your business. Cloud and hosting partners will need to continue to adapt security measures to protect this valuable information. 

Top Consumer Technology predictions for 2019
  • AI in every part of our lives – AI is impacting every part of our lives in ways we probably don’t think about. Digital assistants are becoming widespread, your email is not writing sentences for you and more companies are utilizing AI in everyday business practices. You probably are interacting with chat-bots online or on the phone and you might now even know it. 
  • Faster Internet – The Internet is a part of every minute of our lives. Between phones, cameras, voice enabled home systems, computers and even refrigerators, more and more devices require an internet connection. Because of this new reality, 5g and faster Wi-Fi internet will continue to grow. 
  • Digital Assistants become the norm – Since the introduction of Apple’s Suri, Google Assistant and Amazon's Alexa, the digital assistant has started to be part of our daily lives. Now and in the future, more and more devices will have a digital assistant built in. Everything from speakers, to cars and even appliances will now be enables with digital assistants to help you with daily tasks. 
  • Security - We mentioned this on our IT list and it is here as well. More people than ever are online and use cloud services to store pictures, passwords, data and more. This means more phishing scams and hackers. People need to be aware of their security at home and at the office. Make sure you change your passwords on your online accounts and home devices. 
Are you ready 2019?
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Approyo Welcomes Christopher Scattaglia

We are proud to announce that we have expanded our team again, this time welcoming Christopher Scattaglia.

Christopher joins Approyo with 4 years SAP experience and a focus on Unix Operating Systems.  His previous work includes migrations, upgrades, installations, & support packs, mainly on older ECC systems. Christopher says his big draw to Approyo was the opportunity to work more closely with developing technologies. 

 “We have a top-notch team and we will continue to grow our organization. We are proud to be based in Wisconsin, where there is an exponential amount of growth in the technology sector,” says Chris Carter, CEO of Approyo.

Approyo has been providing solutions powered by SAP HANA®, such as the latest version of SAP S/4HANA®, in the cloud for the last three years. Approyo built an entire platform using the best solutions in the market, helping companies move to SAP HANA quickly and benefit immediately.

Friday, November 23, 2018

SAP Demystified: Why is SAP HANA better than other traditional databases?

SAP HANA is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk. This allows the application to provide instantaneous results from customer transactions and data analyses.

In-Memory First
SAP achieved a true transaction and analytical (i.e. translytical) platform by designing SAP HANA from the ground up with a new data processing architecture in mind.  This architecture greatly simplifies applications built on this platform removing many of the legacy overhead required to optimize applications on traditional disk-based database solutions.

SAP HANA is the only true in-memory columnar data store optimized for both high-speed transactional scenarios and also very fast query performance optimally supporting both OLTP and OLAP application scenarios. With SAP HANA, there is a single copy of data as there is no need to move data to external systems to offload analytic workloads or populate materialized views and in-memory caches to achieve acceptable performance.  This allows applications built on SAP HANA to process transactional and analytical workloads at high speed without any data duplication enabling businesses to have accurate insights based on the latest data.

Other solutions in the market typically provide an in-memory “option” to existing disk-based, row-oriented solutions, requiring a copy of data to be made into in-memory storage.  Row-based storages don’t yield the same level of data compression as columnar storages leading to higher costs and inefficiencies. These solutions may provide some performance improvements in certain use-cases, but they do not deliver the overall value that SAP HANA does by truly reducing the data footprint, increasing overall performance for all data and reducing management costs of the solution.

Scalability and Speed 
Based on the functionality of data being stored in a RAM chip instead of a hard disk, SAP HANA makes high speed processing a practical reality. Unlike the traditional process of data being read from the hard-disk and subsequently moved into RAM for data processing, the agility of SAP HANA allows organizations to achieve more with their data. For instance, an HR team could run real-time jobs in different batches without having to wait for the jobs to get completed before starting another. The fantastic capability of running multiple jobs at the same time and run them several times, if need be, gives SAP HANA an edge above the rest.

Simplicity
The biggest problem of traditional databases was their limitation of supporting and managing one business load at a given point in time. So, if a customer runs multiple businesses or has more than one line of operations such as marketing, customer support, logistics, manufacturing, finance, and more; the data in each of these systems will tend to get duplicated thus, increasing the complexity of the system manifolds. The process gets further complicated if the customer wants to view multiple kinds of data at one time. With SAP HANA integration, the simplicity of having one system for different business applications and its real-time access makes the operations extremely simple and user-friendly.

Predictive analytics and machine learning
Predictive analysis with SAP HANA includes native high-performance predictive algorithms for both expert and automated modes. Additionally, you can run open-source R scripts on SAP HANA through integration with R server and build machine learning applications with integration to TensorFlow. Some of the predictive algorithms run on streaming, spatial, and series data and are self-improving. The ability to perform predictive analytics on an entire body of transactional data lets you develop modern applications that forecast outcomes and help your business adapt processes in real time. Machine learning helps you build applications that can adapt and automate some of the manual business process step.

Read the full blog post on www.approyo.com

Wednesday, November 21, 2018

Innovation powered by the intelligent enterprise

An intelligent enterprise is a smart, best-run business. It is an organization that capitalizes on intelligent technologies to automate complex business processes, anticipates new customer needs and invents new business models.

To build an intelligent enterprise, you need to be equipped with the tools of the future.  Only SAP solutions have the depth of experience combined with the breadth of industry knowledge to offer innovative solutions that can effectively streamline your business from end to end. SAP solutions powered by Approyo are committed to delivering continuous innovations to our customers to ensure they continually have access to the latest innovations and best-of-breed technologies to deliver the visibility, focus and agility they need.


  • Award-winning digital-age user experience (UI): SAP has delivered the world’s first hands-free ERP. It’s built on an award-winning UI including a context-aware, business-savvy digital assistant for the enterprise.
  • AI-powered automation: Combining learning capabilities, predictive analytics, and real-time insight adds automation to key functions, notifies users when input is needed, and enables faster and smarter decisions.
  • Next-generation business processes: SAP helps you rethink how business is done by reinventing and redefining processes with applied best practices built on the latest innovations. 


Get the most out of your data
To get the most out of your digital journey, you need to utilize data from multiple sources, including core data from your business processes, as well as external data sources such as connected sensors, weather information, satellite pictures, road conditions, market data, and social media.

Digitization is creating tons of data every day, much of which is unstructured, such as images and videos. This data by itself is of little use. Insights from data are essential for today ́s business, but they’re useless if you can’t make sense of them. Intelligent enterprises are driven by data and insights. It’s not just about having the right data at your fingertips but having the analytical insights from that data linked to your core business processes. This is where machine learning can help, as it unlocks knowledge from structured and unstructured
data to enable the intelligent enterprise.

Be intelligent – use machine learning
Machine learning lets you make sense of raw data and unlock new insights by learning from data, rather than programming explicit rules. Deploying machine learning capabilities across relevant business processes can help identify untapped opportunities, expose hidden risks, and automate repetitive tasks or knowledge-based work.

Unlock the value of IoT
Internet of Things (IoT) technology has been around for decades, but now it tops the agenda for many companies. That’s because the evolution of connectivity, Big Data management, analytics, and cloud technology are presenting new opportunities for IoT in business. Initially, IoT applications focused on operational activities on shop floors because downtime or system failure could result in significant losses. Aside from the benefit of uptime, the data collected from IoT technology wasn’t generally used. Now customers are using SAP powered by Approyo to leverage that data to shift from reactive maintenance practices to proactive endeavors to work smarter, get better insights, and provide new services to their customers based on IoT data.

Read the full blog post on www.approyo.com

Friday, November 16, 2018

Approyo CEO Chris Carter featured on Coffee Break with Game-Changers Radio, Presented by SAP

Approyo CEO Chris Carter was recently featured as a guest on Business Analyst by Day, Data Science Hero by Night - Part 2 of Game-Changing Predictive Machine Learning, Presented by SAP. During this episode, Chris talks about Big Data, Machine Learning, AI and more. Learn more about part 1 here...

About the episode:
Big data has officially crashed into the business world, taking competition to new levels.

Can your business benefit from big data without investing in qualified data-science resources – an entire lab and pedigreed experts – to navigate and take advantage of this new business domain, which includes AI and Machine Learning?

Good news!
Packaged application software has lowered the skills barrier to mining the data. Our panel is proof that anyone can successfully use data analytics tools. Hear what they wish they’d known when they began.

Listen on-demand: https://www.voiceamerica.com/episode/110564/business-analyst-by-day-data-science-hero-by-night-part-2

Featured Guests
Christopher Carter
With almost three decades of extraordinary working experience in the SAP industry, Christopher Carter, CEO at Approyo, founded Approyo with the goal of making it easy for customers to embrace SAP HANA. Chris works with businesses around the globe and is known to assist them in their journey to the usage of Big Data in the forms of Hadoop (Cloudera and Hortonwork’s) and SAP HANA. His experience has earned him a national recognition by the American SAP Users Group, SAP, Hadoop World, Cloud Expo and more. Additionally, Mr. Carter was fortunate to create the first SAP cloud ever used by an SAP client in 2005, and the first Client SAP HANA Production cloud.

Jason Olson
Jason Olson is an Analytics Specialist at Kimberly-Clark Corporation. He has spent the last 15 years working in every area of the Business Intelligence field accumulating end-to-end technical and functional expertise. He earned his BBA from the University of Wisconsin - Whitewater in 2003 and MBA from University of Wisconsin – Oshkosh in 2011. Leveraging his business acumen and technical expertise, Jason bridges the gap between technology and the real business needs in a wide range of business functions. His real passion is having a seat at the table with business users to accomplish their goals, demonstrate the art of possible, and enabling those who know their business best to leverage advanced tools and techniques. Jason’s current focus is on Machine Learning and enabling a diverse user base to leverage.

Samantha Wong
Samantha Wong is a Product Manager for Predictive Analytics at SAP. She has been part of the SAP Analytics team for over 4 years, and in her previous role, she supported customers across the Asia Pacific Japan region to drive actionable insights out of their data. With a Bachelor of Commerce degree specialized in Marketing, and experience in Advertising, Banking, and Insurance, Samantha fits the profile of analyst turned citizen data scientist. Connect with her on LinkedIn for interesting articles and commentary on the ever evolving world of Predictive Analytics and Machine Learning.

Start your path to the Intelligent Enterprise with Approyo
Approyo provides full SAP service technology with extensive capabilities in consulting, solutions architecture, hosting and managed services, in order to develop the right solution for our customers. Get started today... 

Thursday, November 15, 2018

Digital Transformation for Life Sciences with SAP powered by Approyo

In today’s digital economy, patients are more accountable for their care and have greater access to their personal health information. Patients and payers are seeking personalized treatments with superior outcomes, but cost-effectively. Increasingly, value-based and outcome-based reimbursement are being floated as reforms to healthcare systems, primarily in the United States.

There is immense pressure on life sciences companies to do more for less. They are facing new price pressures and competitive threats. New entrants into the marketplace have changed the way they deliver products, forcing them to adopt new approaches or face stagnant or declining revenue growth and margins. Digitalization is forcing life sciences companies to rethink their business models and restructure the value chain. New value will come from the ability to digitalize the model and accelerate innovation.

To execute on their digital strategy, life sciences companies will need to reengineer their business processes. Life sciences companies with a global presence must have lean processes that are consistently executed. They must get away from siloed processes that are implemented and executed differently at different sites. This will help ensure that the support systems (process and technology) can scale up quickly to match the company’s growth. Life science companies must also evaluate if they have the right technology platform that can deliver on the vision. The winning platform will require an IT architecture that provides both stability and long-term reliability for core enterprise processes, while allowing flexibility in areas of frequent change.

The digital core is the foundation for the core processes that need to run consistently and in a flexible manner. It provides uninterrupted, real-time transactions and analytics, the ability to work with extraordinary large volumes of data, and connectivity to line-of-business extensions that enable supporting processes, such as talent sourcing and networks. To succeed, firms will need to put in place a coherent digital vision with clearly articulated offensive and defensive strategies. They will need to address emerging business models to drive outcome-based engagements and achieve connected health. They must satisfy new and evolving compliance regulations, outsource manufacturing, and drive operations based on the Internet of Things (IoT). Increasingly patients are adopting a connected health system by resorting to wearables. Life science companies can leverage such devices and build apps that enable the physicians and the manufacturers to understand patient behavior in order to provide the right guidance and treatment as well as improve products for enhanced wellness.

To comply with newer regulations such as serialization and identification of medicinal products (IDMP), companies must have high-performing databases with close integration to their inventory management systems. For global pharmaceutical companies, serialization can easily add a few billion records into their databases. Furthermore, such data must be stored for long periods, retrieved quickly, and reported to various entities. The right technology platform, along with niche compliance solutions, will enable companies to comply with these evolving regulations effectively.

The right technology platform that delivers streamlined integration to supply chain partners and outsource manufacturers can help companies get their products manufactured on time, efficiently, and at much lower cost. For product visibility across the extended supply chain, optimal equipment maintenance, and effective distribution of specialized products, IoT device-based data and a rich analytics platform become the new imperatives. By leveraging IoT, life science companies can significantly cut costs on equipment maintenance, react in real time to exceptions while products are being delivered, and gain better insights into their product distribution.
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SAP S/4HANA was specifically developed to represent the digital core in this bimodal IT architecture. It provides life sciences companies with a proven framework to adopt industry best practices while attaining operational excellence – specifically, but not exclusively, across core industry capabilities,such as real-time supply chain and digitalized sales.

A comprehensive solution for life science companies
Life science companies need to manage their product shipments very carefully. Some products, such as blood derivatives, plasma products, and biologics, must be shipped in a temperature-controlled environment. Other products, such as medical devices, must be guarded against exposure to light, shock, and other factors. SAP S/4HANA with other SAP solutions can monitor such parameters in real time during shipment. In combination with transportation management and event management modules, the software provides functions to send out real-time alerts. Such alerts can save shipments if product is not yet damaged. The software also helps reduce costs and time in aborting shipments when the product is damaged. The analytics provided by the SAP Leonardo digital innovation system can help predict which shipping lines are best and safe for continued engagement. The process below illustrates how temperature-controlled distribution is tracked.

Read the full blog post on www.approyo.com

Friday, November 9, 2018

SAP Demystified: SAP Fiori

The SAP Fiori design language is used in SAP applications, including the S/4HANA and C/4HANA suites, SAP Analytics Cloud, SAP Data Hub, SAP Ariba and others. Applications that use the Fiori design language are often called Fiori applications or Fiori user interfaces (UIs). SAP Fiori designs can be implemented using almost any technology, though SAP provides Fiori-compliant UI libraries in its SAPUI5 JavaScript library, as well as the SAP Cloud Platform software development kit (SDK) for iOS and SAP Cloud Platform SDK for Android.

SAP Fiori 2.0
SAP Fiori 2.0 was released in October 2016 and is the leading design for all SAP applications providing a harmonized user experience across on premise and cloud solutions. A new visual theme – named Belize – comes along with light and dark flavors. Using SAP S/4HANA, the UI Theme Designer allows you to adapt the theme to your corporate identity.


  • With SAP Fiori 2.0, the SAP Fiori Launchpad is your central and role-based entry point  to access all apps.
  • With the viewport concept, the user’s desktop has been expanded to the left and to the right. While users can access the Me Area to the left, notifications on the right keep them well informed.     
  • The SAP Fiori 2.0 concept also includes new SAP Fiori elements – Overview Pages, List Reports, and Object Pages – which can be easily developed using SAP Web IDE.


Types of Fiori apps:


  • Transactional applications designed for interacting with individual business objects such as customers or sales orders, managing lists of business objects or carrying out a specific business process such as posting of financial documents.
  • Analytical applications meant to analyze a business question or visualize a business process or set of key performance indicators (KPIs) at a higher level.
  • Fact Sheets, designed to display all the relevant information regarding a specific business object in one place.


Functional Capabilities
SAP Fiori UX design principles - The design concept is based on five core principles that combine to deliver a deeply satisfying user experience:


  • Role-based - Deliver the right information at the right time via multi-faceted user interfaces
  • Adaptive - Get instant, relevant insight – whether using mobile apps or a desktop computer
  • Simple - Zero in on your most important tasks, functions, and activities
  • Coherent - Deliver a consistent UX across the enterprise – whether you need to fulfill a sales order, review your latest KPIs, or manage leave requests
  • Delightful - Enrich your work experience with intuitive,  easy-to-use SAP Fiori apps


Modern user experience
SAP Fiori 2.0 is a modern UX that encompasses visual design, information architecture, and interaction patterns:


  • Visual design – SAP Fiori 2.0 offers a refined visual language. Clean and consistent layouts throughout the user interface convey the content with clarity. Experience modern, visually pleasing aesthetics with a strong focus on ease of use 
  • Information architecture - Give business users ready access to the information they need to complete their tasks
  • Interaction patterns - Harness simple and intuitive interactive patterns to boost productivity company-wide


SAP S/4HANA and SAP Fiori
With SAP S/4HANA software using the SAP Fiori 2.0 user experience (UX), you can simplify user onboarding and increase productivity. From the SAP Fiori launchpad as the single entry point, to the domain-specific information and actions, you gain the relevant information you need at a glance to get work done.

Read the full blog post on www.approyo.com