Algoworks Solutions Inc: Cloud BI Solutions For Enterprises

1. Cloud BI Solutions For Enterprises BUSINESS INTELLIGENCE

2. Understanding Cloud Business Intelligence

3. Cloud BI refers to cloud-based tools which change raw data into information. This information can be used by businesses to help cut costs, increase revenue, streamline inefficiencies and formulate better organizational decisions.

4. As a business intelligence solution, cloud-based BI offers many advantages over on-premises based BI. Cloud BI can be accessed easily, is less expensive, highly scalable and relieves users from many administrative tasks associated with data management.

5. Cloud BI performs any BI functions: Data Visualization, Process Mining, Data Mining, Text Mining, Online Analytical Processing (OLAP), Querying, Business Performance Management, Benchmarking, Statistical Analysis, Forecasting, Reporting, etc.

6. KEY INSIGHTS - Statistics speaks... In the next 12 months the use of cloud for BI will increase to 78%. From 2013 to 2016, Cloud BI adoption increased from 29% to 43%.

7. KEY INSIGHTS - Statistics speaks... Public Cloud is among the most preferred deployment platform for cloud BI and analytics. PUBLIC CLOUD HYBRID CLOUD PRIVATE CLOUD

8. KEY INSIGHTS - Statistics speaks...

9. KEY INSIGHTS - Statistics speaks... 48% of enterprises are adopting data integration between on- premise and cloud applications.

10. Key Considerations Before Implementing Your Own Cloud BI Plans

11. 1. Why Cloud? Companies should check their requirements, identify their end goals and evaluate what is the best fit for their organization. With cloud becoming more widely adopted in the market in general, capabilities are more robust and can be comparable to on-premises analytics solutions.

12. 2. Where Does Data Currently Reside? For organizations that already have their data in the cloud, shifting to a cloud BI solution is a natural transition. For example, companies using cloud-based operational solutions could choose to expand their use to include analytics. Others have to integrate data from on-premises solutions, a lot more effort.

13. 3. Choosing Public Or Private Cloud? IT departments may have a preference of how to deploy cloud. It can be done by a third party or by enabling cloud accessbut having the platform solutions managed internally. Though both options are secure, some organizations have sensitive data and therefore prefer private cloud options.

14. 4. Privacy And Security Considerations When looking at cloud-based BI, industry specific risk and security regulations puts added pressure on organizations to comply with requirements and therefore requires extra consideration. There are many cloud service providers who develop their platforms with the ability to support privacy and security parameters.

15. 5. Choosing Between Capex And Opex Organizations need to identify whether to acquire new or additional hardware. Investing in Capex projects will cost a little more initially but maintenance will be on the lower side. Opex expenditures on cloud may cost you less to implement but it may prove expensive depending on the scope and expansion of the project.

16. 6. How Will Data Be Integrated? This is an extension of the conversation surrounding data governance. Data has to be sourced and stored somewhere and therefore identifying these requirements and complexities need to be dealt with beforehand.

17. 7. What Types Of Services Are Required? Organizations should identify the capabilities required for success, namely, identifying analytics requirements. In terms of cloud environment, this means evaluating the level of managed services required vs. doing it yourself.

18. WHY CLOUD BI? Focuses on Focuses on reducing reducing costs costs Improves Improves customer customer responsiveness responsiveness Streamlines Streamlines processes processes

19. BENEFITS OF CLOUD BI

20. Advanced Mobility Mobile users can access customer records, project requirements, and much more from any mobile device. Cloud BI allows you to stay connected to real-time data for streamlined communications, decision making, and collaboration.

21. Lower Costs, Higher Performance This helps in increasing collab campaigns between sales and marketing teams, resulting in better sales forecasting, resource allocation, etc. With robust and scalable data analytics tuned, businesses are rapidly leveraging reporting tools in order to improve sales and marketing activities.

22. Easy Data Interpretation Cloud BI solutions allow better business insights on sales performance, success/failure of marketing campaigns, customer behavior. It also simplifies data interpretation.

23. Agile, Adaptable Platforms Cloud BI solutions can be easily modified to enhance reports, streamline processes, update dashboards and analyze data on demand. Scalability and multi- tenancy features of a Cloud BI solution automates everything from data discovery to data reporting.

24. Data Security Cloud BI offers strategic data security management. Cloud BI solutions offer a wide range of data security protocols and features.

25. What Large Corporations Have To Say About Cloud BI?

26. Take 1 According to Gassman the problem arises when an organization decides to pursue cloud analytics but different divisions and departments define them differently. Gartner says, cloud analytics is any analytics effort in which one or more elements are implemented in the cloud, be it public or private. And these elements are data models, data sources, etc.

27. Take 1 Then there are data warehouse vendors like Teradata and Kognito which are also referred to as cloud analytics companies and offer their analytic database in the cloud or in a hosted environment. Famous SaaS BI vendor like GoodData refers to themselves as cloud analytics vendors as does Coremetrics (IBM), a social networking analytics company.

28. Take 1 The problems come when people go down this road but fail to understand the scope. This results in customers not always understanding what they are getting. ???

29. Take 1: Solution Therefore, while significant opportunities for creating business value using cloud analytics exists, enterprises have to truly understand what the term means. Only after complete understanding should they pick a combination of six analytic elements deployed in the cloud that best meets their needs.

30. Take 2 Whether organizations look to the cloud for data warehousing, analytics or business intelligence it completely depends on where their data can be found. Organizations have to ponder if a cloud BI and analytics strategy is the right choice for their organization. This may depend on whether their data is already on cloud or on- premises.

31. Take 2 Making unnecessary expenditures on a relocation process seems impractical if there is no real need. But if most of your data is already processed in the cloud, why not give it a try? If they are using on-premise systems to handle the workloads being thrown at them, shifting data into cloud-BI system probably isn’t a good idea.

32. Take 2: Solution Large companies like Netflix are among cloud BI adopters. It runs all of its data analytics applications in AWS cloud along with most of other systems. Hurt Brown, director of Netflix’s data platform, said the online streaming media company can have multiple Hadoop clusters sharing the same data in the AWS cloud.

33. CONCLUSION So, whatever combination of cloud analytics your company chooses, make sure you agree beforehand on the definition of the term, it’s essential. Cloud analytics is not a uniform product or technology category. Therefore to gain any business advantage from it, enterprises must clearly define what they need from the cloud and what the term means to them.

34. THANK THANK YOU YOU Official Blog Link - http://www.algoworks.com/blog/cloud-business-intelligence- solutions-for-enterprises/ Mail us at: sales@algoworks.com Contact us at: +1-877-284-1028