Data Analytics Solutions for your Business

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Advantages of Data Analytics Solutions for your Business

In this increasingly digitized world, the amount of data generated is growing at an exponential rate. All businesses are facing challenges in managing and making sense of this massive data and are seeking best practices to handle data meaningfully. Discovering the secrets hidden in this ‘Big Data’ is the key factor in driving and developing future strategies which can help businesses gain the competitive edge.

Optimizing performance and access for faster time to insight

For true collaboration, you need access to data no matter where it is located or what type it is. IBM Spectrum Scale™ supports big data workloads while managing data at scale and performing analytics in place.

Run data workloads directly on enterprise storage

With 80% of data unstructured, you need a system that isn't proprietary and can seamlessly extend to the cloud. IBM Elastic Storage® Server is ideal for Hadoop, Spark, and other big data and analytics workloads.

Gain a persistent, scalable layer for cloud-based analytics

There are 2.5 quintillion bytes of data created every day—which is why you need IBM Cloud Object Storage, a breakthrough platform for storing large amounts of unstructured data with unmatched efficiency.

Capture insights as they happen

Convert transactional, operational, and other enterprise data into revenue opportunities by running real-time analytics and machine learning on your mainframe.

Reach insights faster and consistent

IBM Power Systems™ servers deliver a scalable big data infrastructure to crush data-intensive workloads with ease in cloud or on-premises environments.

Gain insights where data lives

Run big data analytics on the same powerful, secure system where your data resides. Speeds insights from millions of points of data in a single location.

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Organizational Foundation for Data Analytic Work

Also important is the ability to embed your analytics use cases into business processes to make implementation as seamless as possible. If it's going to require a heavy lift in terms of process or cultural change, pick something else.

A strong foundation for analytics involves an end-to-end data strategy as much as a strong team. Make sure those involved understand the needs and characteristics of your data today, and for future use cases. How will you handle the need to migrate and/or scale your data as your needs change? Implement a master data model across key domains (such as customer, product and locations) to create consistency, and be clear about ownership and accountability for security, governance, quality and maintenance of your data.

Culture and Resources

Organization embrace data insights, sponsors properly resourced teams, and prioritizes analytic development work.

Continuous Improvement Practices

Team embraces fail-fast continuous improvement practices to evaluate their success in translating data to achieve results.

Problem Solving Process

Team breaks down the defined business problem into workable steps to translate the right data to achieve results.

Right Software & Hardware Infrastructure

Organization secures infrastructure that supports data processing in a timely manner.

Right Data

Team understand and obtains the right data that explains the business problem to achieve results.

Right Team of Experts

A team of management sponsors, data scientists, data engineers, solution architects, and domain experts identifies the right data and works to translate the data to achieve results.

Define the Problem

A business problem that, with the use of data, will provide more insight to drive the right business decisions or provide business efficiency on how work is to done, which is sponsored by management direction.

Only once these issues have been fully thought through and addressed can you begin to integrate, embed and production Alize analytics into your decision-making processes.

Figure 2 showcases the various components needed to establish an effective organizational foundation to develop analytic work. Use this analytics and Al organizational evaluation workbook, which contains critical thinking questions around each component for the organization, to evaluate how ready your organization is to support its analytics and Al journey.

Data Analytics & Insights Services

The ultimate goal for companies deploying Big Data technology is to sift through large volumes of data and utilize analytics & insights to make better business decisions and identify actionable steps. We have expertise and experience working with various data visualization and analytics tools like QlikView, QlikSense, Tableau, SAS, R, IBM Cognos, Azure ML and more, which sets us apart from other Big Data Service Providers. Our capabilities in Big Data Analytics Solutions space include.