From insight to foresight with BI and predictive analytics

IBM Business Analytics, Social Media Program Director, IBM

Reporting on historical information to bring meaning to your business operations is just the beginning of the business analytics journey. In order to gain a competitive edge, operational knowledge of your business must go beyond managed reporting and include predictive capabilities to help you understand where the business is headed and provide strategic advantage. Predictive analytics enables you to discover trends, patterns and relationships in your data, strengthen and attain business goals and make game-changing decisions,

During this Twitter chat we will discuss the value of business intelligence and predictive analytics for more precise, accurate and timely decisions.

Our special guests for the chat are David Clement (@DWClement), IBM product and solutions marketing manager for predictive and business analytics, and Jorge Garcia (@jgptec), senior business intelligence and data management analyst at TEC, . Moderating the chat will be @IBMAnalytics.

You can follow along and join the discussion using the hashtag #BigDataMgmt. Here are the questions we’ll be discussing as well as reference articles to help inspire the conversation on Wednesday, April 23 at 12:00 noon EST.

#BigDataMgmt chat questions

  1. So what is forward looking business intelligence?
  2. What are the different kinds of intelligence customers are looking to glean?
  3. How does forward looking business intelligence help decision makers and lower risk?
  4. What is the difference between data mining and predictive analytics?
  5. What are businesses looking to get help with?
  6. What are some of the strengths that IBM business analytics software provides today?
  7. For a small business to large enterprise, what is the best way to adopt predictive analytics alongside one’s business intelligence solution?

Related resources

Featured guest

David Clement (@DWClement) is a leader of product and solutions marketing within IBM’s Predictive and Business Analytics division.  David’s career spans across multiple business units in the financial and business intelligence software field allowing for a broad understanding of customer needs and successes.  David has spoken at numerous industry events and conferences, contributed to the authoring of multiple IBM sponsored articles, delivered online presentations and workshops for client and partner groups and hosted Twitter chats on the subject of business analytics. Connect with David on LinkedIn to learn more about data analysis at the individual, work group and enterprise levels.

Jorge García (@jgptec) is a senior business intelligence (BI) and data management analyst for TEC. He has more than 20 years of experience in all phases of application development, database and data warehouse (DWH) design, as well as nine years in project management, covering best practices and new technologies in the BI/DWH space.

Prior to joining TEC, García was a senior project manager and senior analyst developing BI, DWH and data integration applications with Oracle, SAP Business Objects and data integration. He has also worked on projects related to the implementation of BI solutions for the private sector, including the banking and services sectors. He has had the opportunity to work with some of the most important BI and DWH tools on the market.

García is a member of the Boulder BI Brain Trust. Follow Garcia on Google+ and LinkedIn.

What is #BigDataMgmt chat?

#BigDataMgmt chat is a weekly conversation every Wednesday at 12:00 p.m. EST, on Twitter. Each week we discuss a different topic around big data management.

How do you join in?

If you use a Twitter client like Tweetdeck or HootSuite, create a search column for the term ‘#BigDataMgmt’.  Then as participants tweet with the #BigDataMgmt hashtag, those tweets will appear in your column. Or you can follow with Tweetchat – – and it automatically adds the #BigDataMgmt hashtag.

How do you participate?

Just jump right in! Review the discussion questions posted in advance so you can prepare your thoughts and answers. When the question is posed, begin your response with A1: for question 1 and A2: for question 2, etc. This makes it easier to follow the conversation throughout the chat. No answer is wrong! We look forward to seeing you at the #BigDataMgmt water cooler hosted by @IBMbigdata.