It’s Not Too Late – Here’s How to Catch Up in the Big Data Race

“Without Big Data Analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore

A decade back, companies across industry domains began investing in Big Data and Analytics. Since then, Big Data has played a transformational role in the business success of modern enterprises. At the same time, organizations are exploring innovative ways to overcome data-related challenges and leverage data analytics capabilities.

Despite the market “hype” of Big Data, many organizations still struggle to kick-start their Big Data journey. “How do I get started?” or “What exactly is the value I can get from Big Data?” Questions like these continue to plague business leaders.

Regarding Big Data, companies are still ambiguous about how it drives business value. “Is Big Data simply about the massive data volume” or the 3 Vs (velocity, volume, and variety)?

Is it too late for organizations to “hop aboard” the Big Data train? Is this the right time for organizations to invest in Big Data technologies? Let’s discuss this in this blog.

A market survey found that 50% of companies do not treat their data as a business asset. It included prominent multinational companies too. The same survey also found that 52% of the companies admit not competing on data and analytics.

Additionally, companies do not invest in Big Data programs due to data-related challenges like:

• Lack of adequate data to train an AI model.
• Incomplete data where only data portions are available for analytics.
• Limited (or no) data access when data is stored in remote or inaccessible locations (due to data siloes or security concerns).

How does a lack of Big Data strategy impact organizations? Here are some of its negative implications:

Without Big Data and analytics, organizations create low-quality data models that make inaccurate predictions and poor recommendations. It can have a disastrous impact on business sales and revenues.

Organizations fail to achieve a data-driven digital transformation in their processes without an effective data strategy. A lack of data-centric culture can push organizations to focus only on short-term goals while ignoring their long-term objectives.

Companies can start AI projects specifically to solve a business problem. They can examine their business pain points or the available data patterns. Be it any approach, organizations need timely access to the right data sources to determine the feasibility of their AI project.

How does a Big Data implementation roadmap help organizations start their data journey? Let’s discuss that next.

Because of delayed execution, organizations often rush into Big Data implementations without considering their business objectives. The key to success in Big Data initiatives is not merely improving data storage or access but deriving business value and insights.

Here are some recommendations on how to get started with your Big Data journey:

• Identify the Big Data use cases closely linked to your business outcomes.
• Select the right analytics tools and platforms for your Big Data project.
• Establish a data-centric culture across the organization.
• Hire the best Big Data talent or partner with experienced Big Data.
• Implementation company.
• To achieve your data objectives, a Big Data implementation roadmap can help you in:Identifying the right data sources including data lakes and warehouses.
• Connecting the data sources to your customer requirements.
• Integrating organizational data with internal business processes.
• Leveraging the capabilities of data visualization in understanding data trends.

Next, let’s discuss how Emergys can help you get started on your Big Data journey.

With its expertise in Big Data and Analytics, Emergys is helping organizations which are yet to start (or looking to improve their) Big Data initiatives. To help organizations start on this journey, Emergys’s Big Data roadmap includes:

• Assessing the data-related needs of the organization along with how ready they are to implement this journey successfully.
• Educating business users and employees on what to expect from Big Data.
• Identifying the right tools and technologies for meeting their business objectives.
• Building a minimum viable solution to extract business value from Big Data.

Thanks to our industry experience, organizations can leverage our tried-and-proven approach to achieving business success with Big Data and Analytics. Besides, our accelerators, such as the Cluster Sizing tool, Performance Tuning guidelines, and Hadoop Migration methodology ensures rapid turnaround while achieving business objectives. Among the customer success stories, Emergys’s Big Data implementation roadmap enabled Asia’s leading industrial asset monitoring company to migrate from Oracle to Hadoop. The company emerged among Asia’s Top 20 IoT companies with improved data processing capabilities.