How Cloud Makes Big Data Better?

Information technology at one time was that exclusive club that allowed only the elite few such as very large organizations and government bodies etc. through its doors. The story is quite different today. The rise and adoption of technologies such as the cloud have led to the democratization of IT, increasing the reach of technology, enabling cost reductions, and providing a plethora of applications to choose from without making any heavy investment. The cloud has given the much-needed horsepower to make the world more software defined. It hardly comes as a surprise that the cloud ranks high up in the priority for organizations across the globe.

Along with the cloud, we have also witnessed the rising importance of Big Data. Big Data has moved from the ‘nice to have’ to a ‘must have’ initiative as we move deeper into the data economy. The promise of valuable insights to create competitive advantage, drive revenues and spark new innovations are reason enough to bring it on the agenda of all kinds of businesses. As the adoption of Big Data and Cloud continue to increase, we are witnessing a growing interdependence between these two technologies with the promise of phenomenal gains.

How cloud makes big data better?

  1. Convergence – is the name of the game:
    While big data and cloud evolved independently over time, today these two technologies are becoming increasingly intertwined. The growing volumes of data and the need for faster analytics have driven big data to the cloud. Organizations today are looking at new data models derived from structured and unstructured data sources, they need complex event processing applications, they need usage-based compute resources, and they demand greater computing power. With an on-premise data store, processing and analyzing these high volumes of data becomes hard to execute. And given the operational and management costs associated with these on-premise solutions, it does not present itself as an agile and cost-effective solution.
    The cloud, on the other hand, helps in alleviating the enterprise data load and offers not only greater computing power, increased storage, and data agility, it also makes it infinitely easier to analyze and derive faster data insights.
  2. A conversation shift:
    With the conversation moving from ‘where can we store all this data’ to ‘what can we do with all this data’, organizations are moving towards an orientation that is more outcome-based. Clearly, cloud computing and big data are better together. With a growing dependence on data, enterprises are looking at greater effectiveness from big data platforms. With the greater integration of data from both structured and unstructured resources, the big data platform that we need must be highly scalable, elastic, and performance driven. And this can be achieved by leveraging the computing capabilities of the cloud.
  3. The need for greater scalability:
    Performance issues such as latency have no place in the enterprise today. When it comes to analytics, latency can play havoc with performance. The lack of efficient data warehousing and an inability to access real-time BI to answer business queries is a challenge that can be navigated using the cloud. Latency can be brought down efficiently to almost single digit milliseconds using the cloud to create direct interconnections between the data and the analytics. The need for additional processing power can also be addressed with the cloud as it is always there for the taking.
  4. The financial advantage:
    Cost is an obvious advantage of the cloud. On-premise big data storage and analytics can cause a huge drain on the IT budgets as the organization then becomes responsible towards maintaining the big data centers. The cloud, on the other hand, makes no such demand and gives the organizations the flexibility to maintain small and efficient data centers that can be scaled on-demand. The cloud also makes it much easier to gather external data, something that is growing exponentially today. It also enables data access anytime, anywhere without any additional infrastructure demands, thus making it more cost-effective.
  5. Increased collaboration:
    Analytics is collaborative. Collaboration is also a driver of cloud adoption.
    BI and big data analytics work better in the cloud as the cloud provides ready access to data, BI, and processing applications. The cloud makes it possible to share visualizations, share data, and perform cross-organizational analysis. This makes the data analysis available to a distributed user base as well and makes information more accessible to a broader demographic.
  6. Better maintenance and lesser complexity:
    Analytics platforms, like software products, need maintenance. They need frequent upgrades, redesigns, migrations…the list goes on. By moving the analytics platform to the cloud, organizations can ensure that everything remains up-to-date at all times. The cloud also takes away the cost burden of over-provisioning for peak consumption as organizations can access on-demand scalable resources. With the convergence of cloud and big data, today we have cloud-based analytics applications that move the analytics closer to the data. Cloud analytics platforms also take away the effort that goes into putting together a functioning analytics platform. With a ready-to-use data processing and analytics setups, organizations become capable of accessing real-time data-driven insights faster. The can hit the ground running, as it were.

Big Data is only useful when it is used for analytics. It is also clear that the data deluge is only going to increase. And organizations will be hungry to use this rising deluge to their advantage. The key insight from this post is that this will only be possible by multiplying the power of big data with the advantages of the cloud.

5 Technologies that are the Building Blocks of Digital Transformation

Organizations are in the quest to accelerate business activities and offer an exceptional product and customer experiences by driving digital transformation. With 57% of organizations believing that digital transformation is a competitive opportunity, it is without the doubt that technology is enabling organizations to become more agile, responsive, innovative, and efficient in addressing their needs.

The Building Blocks of Digital Transformation

In a highly dynamic and competitive world, having an amorphous digital transformation goal is not enough; what is required is an understanding of the tools and technologies that can enable you to get there. Digital transformation spending is expected to reach $1.7 trillion by the end of 2019. Clearly, leveraging modern technology to significantly drive transformation has become a mandate for organizations around the world. However, only 10 percent of companies around the world describe themselves as fully digital – a significant gap. One of the challenges is the vastness of the scope. Where to start? What technologies will play a role? The questions are many.

Since markets, customer demands, and technology is changing rapidly, leading digital change requires you to embrace modern technologies. This will allow you to evolve with the rapid pace of digital change. Here are 5 technologies that are the building blocks of digital transformation:

  1. Cloud:
    For digital transformation to have a profound impact on business activities, the cloud must play an important role. The cloud offers digital organizations the flexibility to do business from anywhere, freeing them from the hassle of investing in and managing physical IT resources. It offers businesses the scale and speed needed to become agile and focus on continuous transformation. The cloud enables organizations to fuel better collaboration and constantly develop, deploy, deliver, innovate, and implement modern solutions. By offering flexible, on-demand access to resources, the cloud enables organizations to execute plans faster and address the changing needs of the market. With the cloud computing market projected to reach $162 billion in 2020, it is past the time for businesses everywhere to embrace cloud solutions to drive digital transformation.
  2. Mobility:
    A key pillar of digital transformation in today’s fast-paced world is mobility. Digital transformation involves radical reconsideration of how organizations use technology to build new revenue streams or business models. Mobility enables them to do that and achieve a host of benefits: anytime anywhere access to information, improved productivity, better process efficiency, lower operational cost, and an enhanced customer experience. Since mobile technology bridges the gap between the physical and digital world, it helps organizations make use of the right data in the right context at the right time and at the right place. It also fuels better communication and collaboration within the organization – helping organizations make more informed decisions, be more proactive, and engage with their customers and employees better. With 82% of organizations believing mobile is the face of digital transformation, the role that it plays is now self-evident.
  3. Big Data and Analytics:
    In today’s digital economy, organizations need to embrace technology not just to support existing business processes, but also to drive new avenues of competitive differentiation. Big data and analytics are driving organizations to analyze humongous amounts of data and unearth critical insights. They are examining business processes, customer behavior, market trends, and competition data and creating value. Since today’s digital customers are a major catalyst for digital transformation, harnessing the right data helps organizations to understand customer needs, make data-driven decisions, build products and processes to meet those needs, and shape the right experiences for them. As big data and analytics enable organizations to get answers to critical questions in near real-time, it allows businesses to react quickly to change, improve performance, and build competitive advantage.
  4. IoT:
    The Internet of Things is driving substantial transformation across industries by linking critical assets in a connected ecosystem. The data generated from these systems can be used to drive sufficient business value, potentially transforming operations and improving business efficiency. Gartner predicts that 1 million new IoT devices will be sold every hour and that IoT spending will reach $2.5 million per minute by 2021. Using IoT, organizations can extend their enterprise and make the most of the exciting business opportunities for transformative business growth. IoT can help drive industrial automation, derive insights into equipment data, enable predictive maintenance, and improve the safety of the workforce. What’s more, IoT data can also be used to boost efficiency, improve customer experiences, and increase overall business agility.
  5. AI:
    In a bid to drive transformation, organizations across the world are looking at ways of applying Artificial Intelligence to boost their business outcomes. AI is already a key driver of digital transformation across a wide range of sectors. Nearly 9 in 10 businesses believe that AI will serve as a key competitive advantage, and help them explore new opportunities and revenue streams. AI can drive significant automation in the enterprise. It enables organizations to apply a more agile framework for digital transformation and create repeatable, reliable functions that can be used widely. By understanding customer journeys and the outcome of future interactions with customers, AI can also be used to drive personalization in customer engagement – a key expectation of the modern digital customer.

Technology at the Core

The pace at which the world is moving is compelling organizations to embrace modern and innovative technologies. The aim is to become extremely agile, to quickly respond to market changes, and to address customer needs. Digital transformation requires you to leverage the available technology to enhance your business process efficiency and become more competitive. Modern technology advancements such as cloud, mobility, big data and analytics, IoT, and AI, offer a variety of potential business benefits. Picking an area of impact to your business and applying the right technology mix will help you take the first successful step towards digital transformation.