Business Intelligence in the age of analytics Printed on 1/27/2018 Business Intelligence in the age of analytics 10/14/2016 Deliver Solutions, Deliver Careers, Deliver Results © 2013 Computer Technology Solutions, Inc.

Agenda Business Intelligence Big Data Modern BI and Analytics Printed on 1/27/2018 Agenda Business Intelligence Big Data Modern BI and Analytics Takeaways © 2013 Computer Technology Solutions, Inc.

Today’s Speaker Yissel Espinosa Cervantes Consultant CTS Printed on 1/27/2018 Today’s Speaker Yissel Espinosa Cervantes Consultant CTS ycervantes@askcts.com @YisselEspinosa http://www.linkedin.com/in/yissel © 2013 Computer Technology Solutions, Inc.

Business Intelligence Printed on 1/27/2018 Business Intelligence Business Intelligence © 2013 Computer Technology Solutions, Inc.

Business Intelligence Printed on 1/27/2018 Business Intelligence Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information.  BI solution supports decision making, transforming data into usable and actionable business information. © 2013 Computer Technology Solutions, Inc.

BI Solution Architecture Printed on 1/27/2018 BI Solution Architecture Explain a BI Solution Architecture. This is a traditional (classic) example, but it is different in every organization. Explain: -ETL -DW -dimensional models / cubes -OLAP / analytical techniques  mainly data mining -reporting, heavily spreadsheets for most of the organizations, then transitioning to Reports, and Dashboards. STORY! Provide example of my first internship, and how the users were not ready for a DW yet. You always need to SERVE the business. ------------------------ --- Other meanings: LOB Line of Business OData (Open Data Protocol) is a standard for building and cosuming RESTful APIs © 2013 Computer Technology Solutions, Inc.

BI terminology DW Analytics BI BI & Analytics ETL Reporting Printed on 1/27/2018 BI terminology DW Analytics BI BI & Analytics ETL Reporting Most of the recent research and articles stay away from Data Warehouse or BI alone since they tend to refer to the traditional (“old”) analytical approaches. The term widely spread recently is ANALYTICS, which was introduced in the late 2000’s to refer to the key analytical component of BI. Therefore, everyone is using it in one way or the other, with terms like Business Analytics, BI & Analytics, Advanced Analytics, etc.. The terms BI, DW, Analytics, Business Insights, BI & Analytics, are used in different scenarios, depending of the components of a particular solution. Frequently, some of the terms are used interchangeably, adding more to the confusion. “I DO like to use Business Intelligence, or just BI, although I may use BI and Analytics to refer to the modern approaches in contrast to the traditional” © 2013 Computer Technology Solutions, Inc.

Big Data Big Data © 2013 Computer Technology Solutions, Inc. Printed on 1/27/2018 Big Data Big Data Big data has become a very hot topic, skill, and buzz word in technology. Many companies are claiming themselves as leaders in big data, and there is no better time to create a career around data and this new technologies. What is big data? “Is there anyone that would like to give us an idea of what they understand by “Big Data”?” The truth is: there are as many definitions as you can find. There is an article on Opentracker.net that summarizes over 30 distinct definitions. Here you have some of them: © 2013 Computer Technology Solutions, Inc.

Printed on 1/27/2018 Big Data “Big data is when the size of the data becomes part of the problem” "Big data is data that exceeds the processing capacity of conventional database systems. The data is too BIG, moves too FAST, or doesn’t fit the structures of your database architectures”. definitions from Opentracker.net “I like this simple definition: “Big data is when the size of the data becomes part of the problem”” Big data is data that exceeds the capacity of conventional systems. The data is too BIG, moves too FAST, or doesn’t fit the structures of your database architectures © 2013 Computer Technology Solutions, Inc.

Big Data Volume Variety Velocity Printed on 1/27/2018 Big Data Volume Variety Velocity Many definitions, in one way or the other, make use of the 3 V’s of big data, which are: Volume, Variety, and Velocity. Basically, we can define Big Data, as the processes or solutions that allow us to aggregate, transform, and analyze huge amounts of data, that is being produced very fast, and respond to a variety of data types and structures. The data can be tweets, comments, Facebook posts, reviews, real-time geographic locations of incidents, resumes or other documents uploaded to a website. These processes aim to generate valuable insights from that data to drive business decisions. © 2013 Computer Technology Solutions, Inc.

Big Data technologies © 2013 Computer Technology Solutions, Inc. Printed on 1/27/2018 Big Data technologies There are countless technologies and platforms in the world of Big Data. They focus on the storage and processing of the data. They strive for high scalability, using distributed, cloud-based or in-memory processing. Hadoop is at the core of those technologies, offering an ecosystem of solutions from HDFS for the storage of the data, to processing the data with MapReduce, Hive, Spark, Solr and others. There are also NoSQL databases like Hbase and Cassandra in the Hadoop ecosystem, as well as the popular MongoDB. Cloudera, Hortonworks and Mapr are distributions of Hadoop. Microsoft Azure and Amazon Web Services are cloud storage and distributed platforms powering BigData and other solutions. ---- Hadoop Distributed File System (HDFS) HDFS is a scalable, fault-tolerant Java based distributed file system that is used for storing large volumes of data in inexpensive commodity hardware Microsoft Azure: cloud computing platform offered by Microsoft Amazon Web Services: is the cloud base scalable and distributed system offered by Amazon Hadoop MapReduce: framework for distributed processing of data Hive: data warehouse infrastructure on top of Hadoop, for query, summarization and analysis in a SQL-like language. Hbase: NoSql database., providing real-time read/write access to large datasets with extremely low latency as well as fault tolerance. Cassandra: NoSQL database, which is highly scalable, fault tolerant and can be used to manage huge volumes of data Solr is the open source platform for searches of data stored in HDFS in Hadoop. Solr enables powerful full-text search and near real-time indexing Spark: cluster computing framework for large-scale data processing. MongoDB: NoSQL database, document oriented with high scalability. Stores JSON like documents with dynamic schemas Cloudera, Hortonworks and MapR are Hadoop distribution platforms http://edgeoftesting.com/big-data-stack-tools-and-technologies/ © 2013 Computer Technology Solutions, Inc.

Modern BI and Analytics Printed on 1/27/2018 Modern BI and Analytics $16.9 billion global revenue in 2016 IT-led reporting and analytics platform business-led self-service analytics The Business Intelligence and Analytics market is forecast to reach 16.9 Billion in global revenue this year, according to Gartner, Inc. There is a huge demand for analytics and insights. Business executives are relying on data to drive their decisions more than ever. Furthermore, there are many companies building products out of their BI solutions. They are no longer using BI processes to make better decisions for their businesses, they are using their BI solutions as a new product or service, offering their clients a competitive advantage. STORY! Provide example of my previous company and their dynamic data warehouse environment. Mention how they use Data, BI, and Analytics as a Product itself. However, the traditional reporting and analytics platform, where the IT staff produce the reports and ad-hoc analysis is transitioning to a modern BI and analytics platform where business users has self-service tools to explore, aggregate, and analyze the data on demand. [Explain more about this transition.] Clients don’t want reports anymore, they want IT to provide the data, and they have their own tools. STORY! Provide example of our current EDW engagement at CTS --------- --More info at: http://www.gartner.com/newsroom/id/3198917 © 2013 Computer Technology Solutions, Inc.

Traditional BI vs Modern BI Printed on 1/27/2018 Traditional BI vs Modern BI Traditional BI Modern BI Source Data & Preparation IT-built dimensional models / DW loaded with ETL processes Upfront modeling and preparation not required Analytics Structured reporting via pre-defined reports or ad-hoc requests Free-form exploration of the data Creation IT staff Business users Key Benefit Governance of data, ensuring a single version of the truth Flexibility and timely access to data insights Can we blend both? Explain key differences between traditional and modern BI Can we blend both? We sure CAN. Explain why. © 2013 Computer Technology Solutions, Inc.

Modern BI and Analytics Printed on 1/27/2018 Modern BI and Analytics Self-service Mobile analytics Cloud-based BI & Analytics Predictive analytics Advanced visualizations Big Data Modern BI and analytics platforms leverage the cloud, as well as columnar and in-memory storage increasing the scalability and processing speeds to incredible levels. New platforms provide mobile first experience and self-service capabilities, offering access to the information from all devices, and without predefined structures. Business users have their insights when they need them! Big data, predictive analytics, and the internet of things enhance traditional BI solutions to a new level. ---------------------------------- More info at: using: http://www.pcmag.com/article2/0,2817,2496370,00.asp © 2013 Computer Technology Solutions, Inc.

Advanced visualizations Printed on 1/27/2018 Advanced visualizations Visualizations have evolved from thousands of rows in a spreadsheet, to advanced dashboards with interactive maps, word cloud, gauge charts, scatter and bubble charts. © 2013 Computer Technology Solutions, Inc.

BI Evolution is Critical Printed on 1/27/2018 BI Evolution is Critical How important is data warehouse modernization? Is your data warehouse relevant? Is your data warehouse evolving? There is a great research published this year by TDWI named “Data Warehouse Modernization: in the Age of Big Data Analytics”. I encourage you to check them out, and I included their link to this presentation. Describe the results of those 3 questions. A Business Intelligence solution, the data warehouse, or any analytics platform HAS TO EVOLVE. It is critical for every organization, no matter their size, industry, or budget. BI solutions needs to stay relevant and updated to help the business achieve its goals. Any good BI solution is a dynamic project, expanding and adapting to the new conditions ---------- STORY! TDWI name From: The Data Warehousing Institute To: Transforming Data With Intelligence More info at: https://tdwi.org/~/media/8C8FD663F03747DDB8FD156D7B021ECC.pdf research report from TDWI.org © 2013 Computer Technology Solutions, Inc.

Takeaways? © 2013 Computer Technology Solutions, Inc. Printed on 1/27/2018 Takeaways? Ask the audience! “What do you take away from this presentation?” © 2013 Computer Technology Solutions, Inc.

Takeaways Exciting moment for BI, Big Data, and Analytics Printed on 1/27/2018 Takeaways Exciting moment for BI, Big Data, and Analytics Requirements Technology BI Solutions YOU have to EVOLVE Evolution Ask the audience! “What do you take away from this presentation?” My take away, and what I want to make sure they get from this presentation: It is a very exciting moment for a career in Business Intelligence, Data Warehousing, and Analytics. There are TONS of opportunities to learn, build expertise, and help your clients or employers. -User Requirements evolve, which means that the problem changes -Technology evolves in the quest to solve those new problems -BI solutions needs to evolve Therefore, in order to be successful, you need to be willing to evolve along with the problems, technologies and solutions  You need to keep a GROWTH MINDSET STORY! Most important piece of advice: Don’t learn tools, learn the concepts and how the tool solve the problem. © 2013 Computer Technology Solutions, Inc.

Questions © 2013 Computer Technology Solutions, Inc. Printed on 1/27/2018 Questions Questions? Open the discussion for any question from the audience © 2013 Computer Technology Solutions, Inc.

Printed on 1/27/2018 References Business Intelligence and Analytics – MIS Quarterly research Think of Big Data as Accelerated, Enhanced Data – askcts.com Big Data Stack: Tools and Technologies – edgeOfTesting.com Gartner Says Worldwide Business Intelligence and Analytics Market to Reach $16.9 Billion in 2016 – gartner.com 10 Business Intelligence Trends for 2016 – pcmag.com Data Warehouse Modernization – tdwi.org Images: search, terminology, takeaways and questions – freepik.com Other references - Business Intelligence (http://olap.com/learn-bi-olap/olap-bi-definitions/business-intelligence/) – olap.com - Business Intelligence (https://tdwi.org/portals/business-intelligence.aspx) – tdwi.org - Microsoft BI Stack Architecture (http://www.pospic.com/?image=http://www.wedocable.com/photo/microsoft-bi-stack-architecture-2591305.png&title=Microsoft%20BI%20Stack%20Architecture&tag=ETL%20Architecture%20Diagram%20Project%20In) –pospic.com © 2013 Computer Technology Solutions, Inc.

Thank you! https://qr.net/Kbx3J8 Printed on 1/27/2018 Thank you! Yissel Espinosa Cervantes Consultant ycervantes@askcts.com @YisselEspinosa www.linkedin.com/in/yissel Thank you! End presentation thanking the audience for the opportunity and their participation. Encourage them to provide feedback at the URL / QR Code on the screen (Give printed copies of this slide, if possible) Remind them about contact information. “Please, reach out any time. I would love to help you out.”. https://qr.net/Kbx3J8 © 2013 Computer Technology Solutions, Inc.

Thank you! https://qr.net/Kbx3J8 Yissel Espinosa Cervantes Consultant Printed on 1/27/2018 Thank you! Yissel Espinosa Cervantes Consultant ycervantes@askcts.com @YisselEspinosa www.linkedin.com/in/yissel Slide to print, with bigger contact info https://qr.net/Kbx3J8 © 2013 Computer Technology Solutions, Inc.