Data: To BI or not to BI?
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1 NATIONAL CONFERENCE ON BMS, 30 MAY 2013, HILTON HOTEL Challenges in building a BI and Big data analytics system Data: To BI or not to BI? Iva Valerieva, 1 Marketing & Business Development Manager
2 Who Are We IT System Integrator and Cloud Service Provider 18 years experience Unique expertise Unique projects Unique certifications Great team Dynamic itself 2
3 Our Clients First In The Cloud 3
4 Unique Projects Stone is in year thee of its 4-year plan: Cloud Services, Business Analytics and Business Process Management. Plus participation in university IT learning. Migration of SAN for a large bank DB consolidation and implementation of hardware platform for DR for a Core Banking System Design and implementation of enterprise class storage for CRM of an innovative bank Consolidation of secondary bank systems Cloud projects have tripled in hear for some of them later in the session Second year Cloud Management masters course in Sofia University 4
5 The success of every enterprise depends on the quality of the decisions that it makes 5
6 Strategic Planning Assumptions 25% of workers will engage search in business applications through naturallanguage expression at least five times daily by year-end By 2016, 70% of leading BI vendors will have incorporated natural-language and spoken-word capabilities. By 2015, more than 30% of analytics projects will deliver insights based on structured and unstructured data. Sales of commercial operational intelligence platform software will grow faster than 30% per year, annually, through Through 2015, predictive and prescriptive analytics will be incorporated into less than 25% of business analytics projects, but will deliver at least 50% of the business value. 6
7 It is all about entrance 7
8 NPD Strategy Planning Levels 8
9 IBM Cognos 9
10 Recommendations Offload event data capture, filtering, mathematical calculations and pattern detection to real-time operational intelligence software, to provide better situation awareness to business people. Where the cause and sequence of events are understood, use leading indicators to predict situations of threat or opportunity before they occur so that the response can be proactive. Where this is not possible, use the system to improve the outcome by reducing the time lag between events and responses. Business people should choose the key performance indicators that they will use; control the layout of the dashboards that they will see Specify the conditions under which they want to receive alerts and the channels to be used to notify them. 10
11 Many decisions require human judgment. 11
12 Decision management techniques Rule engines are relevant where business policies can be expressed in a decision table, decision tree or similar rule set. For example, scoring services that are generated by predictive analytics tools are often more appropriate when the decision model will be derived from historical data using statistical analysis of probabilities. Simulation techniques are used when an analytical model with an equation cannot be used; simulation models are run repeatedly with random input variables to see how the outputs vary. Case-based-reasoning decision tools are used when the results of a similar situation can be applied to a new situation. Optimization tools are used to automatically find the most feasible solution in the context of certain constraints. 12
13 Let computers make decisions that are structured and repeatable to conserve people's time and attention for the thinking and actions that computers cannot do. 13
14 What About the Question Marks? And Dogs? Gartner: Through 2015, 80% of businesses will fail to improve customer service costs due to the absence of a crossfunctional approach to creating an analytics framework that includes social media. 14
15 Beginning in 2013, the imperative will be to expand beyond providing obvious analytics and BI to also providing invisible analytics.this will be a gradual transition. 15
16 Invisible BI 16
17 Market Development Model With BI Solutions 17
18 Where Is The Cloud Here? 18
19 Cloud Usage In Bulgaria ERP CRM Advanced Analytics BPM Accounting 19
20 Ranking 2013 Source: Gartner 2013, Magic Quadrant, Business Intelligence and Platforms for Analytics 20
21 Analyzed Iva Valerieva, Marketing & Business Development Manager stone.bg stonedoit.bg idg.bg/stone 21
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