Big Data Challenges

Challenges tangled in Big Data:

Generally, many organizations generate the enormous amount of data each day. How can they handle the data for future plans? What is the use of that data? How can they use that data in decision making? and there are many challenges arise while dealing with the precipitated data.

Here are some of the challenges that generally many companies fight with:

1. Using data to generate business value is already a reality in many industries. With the advent of the “Internet of things,” improved analytics and increased connectivity through new technology and software bring significant opportunities for companies. First, companies have difficulty identifying the right data and determining how to best use it. Building data-related business cases often mean thinking outside of the box and looking for revenue models that are very different from the traditional business.
2. Second, companies are struggling to find the right talent capable of both working with new technologies and of interpreting the data to find meaningful business insights.
3. Third, data access and connectivity can be an obstacle. A majority of data points are not yet connected today, and companies often do not have the right platforms to aggregate and manage the data across the enterpriseThird, data access, and connectivity can be an obstacle. A majority of data points are not yet connected today, and companies often do not have the right platforms to aggregate and manage the data across the enterprise.
4. Fourth, the technology landscape in the data world is evolving extremely fast. Leveraging data means working with a strong and innovative technology partner that can help create the right IT architecture that can adapt to changes in the landscape in an efficient manner.
5. Fifth, leveraging big data often means working across functions like IT, engineering, finance and procurement and the ownership of data is fragmented across the organization. To address these organizational challenges means finding new ways of collaborating across functions and businesses.
6. Finally, security concerns about data protection are a major obstacle preventing companies from taking full advantage of their data.

For some more challenges that big data faces click this link.

Hence, we need to find some solution to cope with this Huge Enormous Heavy Big Data for analyzing purposes.