Session2: Trends and Directions in Business Intelligence, Analytics and Visualizations Dr. Bjarne Berg Professor Computer Science Lenoir-Rhyne University Department of Computing

What We’ll Cover Introductions Data Creation – Variety, Velocity and Volume New Capabilities Industry Trends and Tools – Dashboards – Data Visualization – On-Line Analytical Processing (OLAP) – Explorer tools and in-memory speed – Fixed formatted reports Wrap-up

Introduction – Dr. Berg

What We’ll Cover Introductions Data Creation – Variety, Velocity and Volume New Capabilities Industry Trends and Tools – Dashboards – Data Visualization – On-Line Analytical Processing (OLAP) – Explorer tools and in-memory speed – Fixed formatted reports Wrap-up

Where is the data Located and What Drives the Growth? Source: WipPro, 2014

Data is Created Everywhere 6 Every day we create 25,000,000,000,000,000,000 bytes of data! (that is 25 quintillion bytes). Every day we create 25,000,000,000,000,000,000 bytes of data! (that is 25 quintillion bytes). Total number of hours spend on facebook each month: 700 Billion Data sent and received by mobile platforms and phones: 1.3 Exabytes Number of s sent each day: 2.5 Billion Data processed by Google each day: 2.4 Petabytes Videos uploaded to YouTube each day: 1.7 million hours Data consumed by each world’s household each day: 357 MB (growing fast)! Number of tweets send each day: 50 Million Number of Products sold on Amazon each hour: 263 Thousand

Information Access

What is Holding us Back? Disk speed is growing slower than all other hardware components, while the need for speed is increasing 8 Focus Improvement Addressable Memory 6260x MB/$ 0.02 MB/$ Memory 8023 x MIPS/$ 0.05 MIPS/$ CPU Technology 690 MBPS 5 MBPS 138x 1000 x 100 Gbps 100 Mbps Network Speed x Source: 1990 numbers SAP AG, 2015 numbers, Dr. Berg Source: BI Survey of 534 BI professionals, InformationWeek,

A Hardware ‘Revolution’ (Sept 2015 Onward)

Brand New Hardware Options Sept 2015 Onward These systems are based on Intel’s E7 IvyBridge processors with 15 cores per processor, or the newer Hartwell processors with 18 cores.

Shell and McKesson in-Memory Database Deployment Results

What We’ll Cover Introductions Data Creation – Variety, Velocity and Volume New Capabilities Industry Trends and Tools – Dashboards – Data Visualization – On-Line Analytical Processing (OLAP) – Explorer tools and in-memory speed – Fixed formatted reports Wrap-up

New Innovation in Medical Field for Big Data 13 CAT scans and X-Rays create an large amount of data that doctors have to review and access HANA can store this and provide high volume and provide almost instant access to hundreds of Terabytes of data X-Ray of Cancer Patient CAT Scan of Tumor Patient

New Big-Data Innovation in Safety and Security 14 Thousands of hours of video is taken at airports, banks, casinos, borders and other sensitive areas Facial recognition software can identify wanted criminals SAP HANA can store that data and process the information

New Big-Data Innovation – Weather and Fishery tracking 15 Tracking whether and execute predictive models require significant number of data points with high data volume Modeling resources such as fisheries and specie movements also require significant data volumes and data points on catch information across the globe

New Big-Data Innovation – Company War Rooms 16 In a multi-national company, data is created and consumed everywhere. With SAP HANA you can create a corporate war-room to track customer demand, shipments, marketing success and business intelligence This picture is from Sprint phone company’s war-room to track usage and transition issues during system mergers and product launches.

New Big-Data Innovation – Pollution Tracking 17 Geo data from pollution, data modeling and tracking creates hundreds of Terabytes. SAP HANA can assist in storing and retrieving this data With Predictive modeling and data visualization you can build sophisticated models on HANA. You can even use the R-statistical library

New Big-Data innovation – Scientific Discovery 18 The super collider center CERN, creates over one PetaByte every second it operates. The new Spectre R telescope of Russia has 1000 times higher resolution than Hubble, generating billions of bytes of data.

What We’ll Cover Introductions Data Creation – Variety, Velocity and Volume New Capabilities Industry Trends and Tools  Dashboards  Data Visualization  On-Line Analytical Processing (OLAP)  Explorer tools and in-memory speed  Fixed formatted reports Wrap-up

20 What Do Users Really Want?

SAP BusinessObjects Dashboards 21 Dashboards can be built using the SAP BusinessObjects

SAP BusinessObjects Dashboards Example — Flexibility Graphs can be displayed many ways Navigation can be done and saved as ‘scenarios’ This dashboard also has on-line help

Live Dashboards Demos : - Balance sheets - Annual sales analysis - What-if analysis

SAP BusinessObjects Dashboards – Mobile Example Dashboards are most useful when compared to something This dashboard is relative to a business plan Notice that all graphs can be displayed many ways and that color coding is consistent across dashboards Make sure layout, buttons, and colors are consistently used and that the location of the objects aligns perfectly with each other.

SAP BusinessObjects Dashboard — Display and Colors This dashboard groups six different categories and over 30 lines into an easily readable table using a few lines and mostly colors Too many lines and incorrect use of “bold” makes dashboards very hard to read Don't cram too much into single dashboards. Plan on multiple dashboards for each business area.

Formatted Number based Dashboard Example Dashboards can also be highly formatted and static with little user interactive In this dashboard we included some KPIs and only the balance sheet for an organization, instead of using Crystal reports for this sort of work. Not all dashboards have a high degree of navigation and imaged. For finance dashboards, presenting the numbers in a meaningful way may be more important.

Operational Dashboards 27 Dashboards can be operational This dashboard focus on billing disputes and is used to monitor closing of cases The users of this dashboard are clerks in the billing office, not executives. Some dashboards are operational in nature and gives a summary of the key metrics and new cases as they occur. Such dashboards works best when data is refreshed often or real-time

Linked to Web Services 28 Dashboards are most useful when shared with others Power users can create great departmental dashboards that can be shared inside smaller organizational units In this dashboard, the data is merged with Google maps and external news feeds. This makes the dashboard much more interactive and interesting.

SAP BusinessObjects Analysis — OLAP Excel Interface 29 The SAP BusinessObjects Analysis tool exists in both: MS Office edition OLAP edition (web) The MS Office edition supports both Excel and PowerPoint

SAP BusinessObjects Analysis — PowerPoint Interface 30 The tool has a query panel and can embed “live” BI analysis in the Microsoft Office applications Excel and PowerPoint

SAP BusinessObjects Analysis — Web Edition The edition for OLAP (Web edition) is great for analysts who want to interact with the data and also add their own calculations, formatting, charts, and filtering The output from this analysis can be shared with others within a department or logical grouping of employees who need to see the information 31 This is not a basic reporting tool, but an analysis tool

SAP BusinessObjects Explorer — Exploration Tool SAP BusinessObjects Explorer is a tool that is intended for rapid interactive analysis of large volumes of data Think of it as a BI search engine The tool works by indexing large volume of data on dedicated server blades using the SAP HANA or BWA Technology 32 SAP BusinessObjects Explorer is accessed through pre-built Information Spaces. These define what fields are available in the exploration and what users can navigate on. The core benefit of Explorer (accelerated version): IT IS REALLY FAST!

Explorer tools for unstructured analysis 1. Load the SAP BusinessObjects Explorer Web interface into a browser 2. Search for “sales” 3. Get the search results and a list of “information spaces” The search result list is sorted based on an internal “relevancy” score

A Step-by-Step Demo: The Initial View 4. The system looks at the data and formats it based on implied hierarchies (i.e., time, geography, customer) as well as measures  Users may navigate and change measures, graphs, and tables

Demo: BO Explorer

SAP Crystal Reports Is a Pixel Controlled Reporting Tool Crystal Reports was one of the leading vendors that became part of Business Objects and later SAP. Crystal, with its two versions, is great tool for batch reporting of “pixel controlled” formatted reports There are some capabilities to do interactive analysis, but it is primarily a tool for structured information access 36

Demo: Lumira Visualizations

What We’ll Cover Introductions Data Creation – Variety, Velocity and Volume New Capabilities Industry Trends and Tools – Dashboards – Data Visualization – On-Line Analytical Processing (OLAP) – Explorer tools and in-memory speed – Fixed formatted reports Wrap-up

What Tool to Select 39

The Future and Big-Data Trends 40 Big data is being generated from micro and macro levels. From human DNA for each person to the content of billions of stars in galaxies. Internet usage Map by protocol Computer based human interaction is getting more common and generating terabytes of data each second A Map on the Whole Internet Big-Data is only get more prominent. – can computers keep up?

The Future and Big-Data Trends – More Imaging 41 Companies will start accessing data visually instead of by numbers and text. A data explosion visualized – Micro loans made Users will have on- demand access to all movies, songs, information in sub- second speed

Your Turn! How to contact me: Dr. Bjarne Berg