#data visualization services provider

We are living in an age of information overload. In the perennial needle in a haystack analogy, the haystack is growing at a much larger rate than the needle. So how we are able to successfully look for the needles and glean out actionable insights has become extremely important. With that in mind, here are the trends I’m following, the predictions I am making, or if not a prediction, the inflection points I am paying attention to.

According to Gartner CIO Survey Business Analytics and Business Intelligence is the top priority for 2017. Recent technological advances in Analytics area are driving the innovation in the Companies and

Analytics is no longer treated as a separate entity from transactional systems. In-memory analytics is closing the gap between transactional and analytical systems. Because of Big data, predictive modeling is not just done using sample data but on huge volumes of data.

                           End to End Business Solutions Companies

Real-time Analytics is the need of the hour with cost optimization

Real-time Analytics provides the analysis of data as it enters transactional systems. This requires tight coupling between transactional data and analytical data. Because of cloud architecture adaptability of analytical systems, one can increase the resources required only when needed and release them when not needed, thus decreasing the cost of Analytics.

All the industry verticals are adapting Business Analytics to solve their critical problems. The output of Analytics is provided in all varieties of devices and various visual patterns. Thus business users can use their mobile devices to visualize the data in real time.

The data generated from the social media applications are both structured and unstructured. Thus the need to analyze not just structured data but unstructured data also. So not just volume but a variety of data needs to be processed as fast as possible and provide the visual outputs to the variety of devices.

                                  Data Visualization Services Provider

 Lastly, the data which is processed through a predictive model is fed back to transactional systems to further analyze the data thus creating closed-loop Analytics. So the in-memory Analytics, Cloud, Collaboration, Big data processing, Real time analytics, Predictive analytics and closed loop analytics are the current trends in Business Analytics.

Analytics are being used in many ways like knowing your customers, managing your financial performance, optimizing your operations and mitigating your risks.

Also, implementing an analytics system in an organization and trusting the system for all your business decisions needs great courage. Analytics systems help an organization in a great way to provide insights and cost optimization. So, I would like to say real-time analytics could be the next trend in 2017.

Thinklayer offers state-of-the-art Big Data Analytics Services to Fortune 500s and SMEs, helping them to reach insights that drive business growth. Thinklayer is worlds no one Data Warehouse Solution Providers. As one of the leading providers of customer data warehouses. Turn data into information with Business Intelligence and Data Warehousing products. We are one of the best Data Warehouse Solutions Companies

 For more information about how business analytics can help you in your business decisions, feel free to inbox me or log on to www.thinklayer.com.

 Contact Us:-

Email: - [email protected]

Call Us: - +1 4156599 036, +91 9784266896

Big data is powering business decisions across corporate boardrooms throughout the world. Every new product, feature or business these days is built on a foundation of big data-driven actionable insights.

Earlier, the use of Big Data was limited to Fortune 500 giants but now, with the rise of affordable big data analytics tools and the rise of cost-effective data sources, Big Data is accessible to Small and Medium sized Enterprises (SMEs).

But the rate at which SMEs are adopting Big Data is critically low. To survive the competition, to make more informed decisions and to grow, SMEs need to harness the possibilities presented by Big Data.

                                 End to End Business Solutions Companies

SMEs can use existing and future Big Data capabilities to zero-in on current trends that are shaping their markets for more informed decisions, analyze their data against their competitor’s to get an edge over the competition and identity future market trends and prepare their strategies accordingly. This and so much more is now possible with Big Data.

Big Data can provide the same opportunities and avenues of growth and expansion to SMEs, like it does to big corporates. In fact, SMEs have an advantage that big corporations don’t have. SME’s operate on the more flexible frame than most of the Fortune 500. This means they are in a better position than big corporates to implement business decisions gained from the actionable insights made available by Big Data.

                             Data Visualization Services Provider

So let’s go over some of the ways in which SMEs can benefit from Big Data:

1. Know Customers Better – Big Data allows SMEs to know their customers and their audience better. Using Big Data, SMEs can analyze why customers buy, how they buy, when they buy and what do they prefer. But this is not all. SMEs can get in-depth analytics data on their customers’ purchase history and preferences, and plan their product strategies accordingly. Analyzing social media data could also give SMEs insight into how their customers are connected with their brand. The possibilities are endless.

2. Zero-in On Trends – Using Big Data analytics, SMEs can study their own data with the market data and the data on their competition, and identify patterns and trends. This will give them a greater insight into the market landscape and identity and implement future growth strategies.

                                 Business Intelligence Solutions

3. Tweak Operations – Big Data allows SMEs to study their own company in depth, against current and historical performance. This will allow them to zero in on loops and gaps that are having an adverse effect on business growth and tweak their operations accordingly. This will go a long way in improving the operational performance of the company and setting it on the path of growth.

4. Study Competition – Sometimes, the greatest business insights come from studying the competition, to find out what they are doing and how to perfect it for one’s own success. With the easy availability of data, SMEs can study their competition in depth and identify threats or strategies that might give them an over the competition.

Thinklayer offers state-of-the-art Big Data Analytics Services to Fortune 500s and SMEs, helping them to reach insights that drive business growth. Know more here.

  Contact Us:-

Email: - [email protected]

Call Us: - +1 4156599 036, +91 9784266896