Big Data, CRM & Business Intelligence: Trends that Rule the Roost in 2017

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Big Data, CRM & Business Intelligence: Trends that Rule the Roost in 2017



Business Intelligence Trends in 2017

1. Artificial Intelligence: According to Gartner Report – Strategic Technology Trends Report 2017- More than half of all large organizations worldwide will use advanced analytics & algorithms built on them to be more competitive by 2018. Artificial Intelligence will be the heart of those algorithms that understand the data and predict what is coming and its intense learning will make machines operate autonomously and take decision in place of humans. This could result a change in decision making and managers need to know how the algorithms reach their conclusion and adjust accordingly

2. Integration of BI with Cloud Computing: in 2017 the cloud will continue to reign with more and more companies moving towards it as result of the proliferation of cloud based tools available in the market. As reported by Saugatuck technology, cloud based BI and analytics will be among the fastest growing options within the coming years. The augmentation of BI with Cloud will compound the growth rate by almost 84% annually in the next two years.


Business Intelligence Trends in 2017

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3. Advanced Analytics Tools: Predictive and Prescriptive analytics are by far the most discussed intelligence trends among BI professionals. Predictive Analysis will be used to analyze current data & historical facts in order to better understand customers & partners & to identify potential risks and opportunities for a company.

Prescriptive analytics tries to see what the effect of future decisions will be in order to adjust the decisions before they are actually made. This improves the decision making as future outcomes are taken into consideration in the prediction.

With such tools, Business Analytics of tomorrow is focused on the future and tries to answer questions : What will happen? How can we make it happen?


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4. Collaborative Business Intelligence: Collaborative BI is the merging of business intelligence software with collaboration tools including social media and other 2.0 technologies in order to improve data driven decision making. It emphasizes problem-solving process, making the sharing process easier & enabling more efficient decision making among team members.



CRM trends in 2017:

I. Cloud Based CRM: cloud CRM users will be able to access all information stored in the system at any time. Cloud based CRM will gain momentum as use of cloud based applications has been increasing rapidly world-wide. According to Gartner, CRM will be 36 billion dollar market by 2017.

II. Mobile CRM: Companies now recognize that their customers want to be able to take their CRM with them everywhere, so they have started focusing on mobile-first approach. According to Skyward Techno, the popularity of mobile CRM will increase by 500%., as a result mobile vendors are coming up with CRM applications that work on Smartphones or tablets and are more user friendly.


CRM trends in 2017:

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III. Social CRM: Social CRM will be a new platform used to promote interactions between customers and companies. Social CRM is to flourish into a 9 billion dollar industry by 2018 – Skyward Techno, hence establishing a social media presence for businesses is a necessity . Moreover with social media monitoring tools one can track the social media marketing efforts of a brand.

IV. Crowd-Sourcing: Entrepreneurs are increasingly taking advantage of crowd-sourcing for business improvements. CRM will no longer be just for lead generation & marketing; it will also provide source for new innovation by tapping current customers for fresh ideas, solutions and expectations that can help employees across an organization to provide interactive relationships that a growing number of customers now expect.


CRM trends in 2017:

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Big Data trends in 2017:

I. Wider adoption of Hadoop: More and more organizations will be adopting Hadoop & other big data stores; vendors will rapidly introduce new & innovative solutions. With Hadoop in place, organizations will be able to crunch large amount of data using advanced analytics to find nuggets of information for making profitable decisions.

II. Convergence of IoT, Cloud, Big data and Cyber security: It seems that everything in 2017 will have a sensor that sends information back to the mothership. The convergence of data management technologies such as data quality, data preparation, data analytics, data integration and more will be seen in coming times. As we continue to become more reliant on smart devices, inter connectivity & machine learning will become even more important to protect these assets from cyber security threats.


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Big Data trends in 2017:

III. Predictive Analytics: In 2017, majority of businesses have yet to tap the potential of Predictive Analytics - to reveal the future. Leveraging existing, new and historical data, it forecasts future events, behaviors and trends. The evolution and application of predictive analysis will run in parallel with the progression of machine leaning. It will allow for greater optimization, highly targeted messaging and more accurate forecasting.

IV. Data Virtualization: The coming year will witness a strong magnetism towards data virtualization. Data Virtualization unlocks the hidden concepts and conclusion from a large set of data. With Geographical data virtualization, enterprises and organizations can retrieve and manipulate data on the go in any format and at any place.






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