We Use The Most Effective Big Data Technology to Analyse The Growing Volume, Velocity and Variety of Data For The Greatest Insights That Find The Solution To Simplify Your Business Success
Big Data
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. We work together with clients to build analytics-driven organizations. We meet our clients anywhere they are in their journey to become data-driven, providing everything from specific expertise on discrete issues to holistic transformations spanning strategy design, build, implementation, capability building, and ongoing support.
Data has intrinsic value. But it’s of no use until that value is discovered. Equally important: How truthful is your data—and how much can you rely on it?
Main V’s of Big Data
Variability
Variability in big data is an important factor, mainly about the number of inconsistencies in the data. These need to be found by anomaly and outlier detection methods in order for any meaningful analytics to occur. Big data is variable because of the multitude of data dimensions resulting from multiple disparate data types and sources. It can also refer to the inconsistent speed at which big data is loaded into the database.
Veracity
Veracity is an unfortunate characteristic of big data, refers more to the provenance or reliability of the data source, its context, and how meaningful it is to the analysis based on it. Veracity refers to the quality of data. Because data comes from so many different sources, it’s difficult to link, match, cleanse and transform data across systems. Businesses need to connect and correlate relationships, hierarchies and multiple data linkages.
Vulnerability
Big data brings new security concerns. In order to diminish this fear, organizations need to reassure customers about the safety of their personal data that it won’t be lost, misused or misplaced. This will require achieving a level of “data stewardship” far beyond a level that which is offered by most data businesses today. A data breach with big data is a big breach, unfortunately there have been many.
Volatility
Due to the velocity and volume of big data, however, its volatility needs to be carefully considered. You now need to establish rules for data currency and availability as well as ensure rapid retrieval of information when required. Make sure these are clearly tied to your business needs and processes with big data the costs and complexity of a storage and retrieval process are magnified.
Visualisation
Visualisation involves the presentation of data of almost any type in a graphical format that makes it easy to understand and interpret. Combine with the multitude of variables resulting from big data's variety and velocity and the complex relationships between them, and you can see that developing a meaningful visualization is not easy. This is very important because visualisation is often the only way customers interact with models.
Value
Arguably the most important of all, is value. The other characteristics of big data are meaningless if you don't derive business value from the data. Substantial value can be found in big data, including understanding your customers better, targeting them accordingly, optimizing processes, and improving machine or business performance. This is essential before embarking on a big data strategy to provide ever-increasing value for users.
Today, big data has become capital. Think of some of the world’s biggest tech companies. A large part of the value they offer comes from their data, which they’re constantly analyzing to produce more efficiency and develop new products.
Recent technological breakthroughs have exponentially reduced the cost of data storage and compute, making it easier and less expensive to store more data than ever before. With an increased volume of big data now cheaper and more accessible, you can make more accurate and precise business decisions.
Our cutting edge technologies and platforms provide a complete view of customer behaviour for improved tailored marketing and identify fraudulent activity. Monitor transactions in real time help organisations to take measure against fraudulent activities. Using the power of big data along with prescriptive analytics and comparison of historical data, we help clients predict and mitigate fraud.
Organizations are now tapping data science and artificial intelligence (AI) as a technology-enabled business strategy. Experimentation is accelerating across multiple clouds. The need for speeding through data preparation and exploration, modeling and training has never been higher. To succeed, a business must bring your algorithms to wherever data resides, Increase productivity of data scientists, analysts, developers and subject matter experts and operationalize the data science lifecycle from insight to prediction and optimization. With the help of Intuit ED service team you could find the solution that simplifies your business success.
Put your data to work for your business with our Data Analytics Services. Our full lifecycle of analytics solutions empowers your organization to not just visualize your data, but maximize its value. Our experts will work your team and data to help you define, design and build a transformative analytics roadmap to power innovation and scale as you grow.
How We Help
Big Data and advanced analytics promise profound competitive advantages, yet only few companies truly master the alchemy of people, tools, data and strategic focus needed. Wondering how to build a world-class analytics organization? Make sure information is reliable. Empower data-driven decisions across lines of business. Drive the strategy. And know how to wring every last bit of value out of big data. With our expertise you can achieve quick wins today and build the internal capabilities needed to completely transform your analytics strategy.
CloseAdvanced analytics, with the help of AI and machine learning, can help organisations mitigate risks and increase operational efficiency in all areas of your business. After adopting our easily consumable analytics cycle, organisations can be confident about the decision making and the right action to drive the business forward.
CloseMachine learning enables organisations to harvest a higher volume of insights from both structured and unstructured data than they could otherwise accomplish with traditional business intelligence solutions. With the help of our experts, machine learning and artificial intelligence offers potential values to companies trying to leverage big data and helps them better subtle changes in behaviour or customer preferences.
CloseIntegration is the key to streamlined planning, budgeting and forecasting. In order to adapt to today’s fast changing business conditions, you need one solution that creates a single source of truth and visibility into all your area. Our expert can provide that solution and help your company grow faster. This powerful planning solution can be a powerful forecasting engine across the organisation. Create dynamic plans, forecast and reports in a solution that helps enable you to more easily adjust to changing internal and external conditions.
CloseOur BI expert help you unlock the power of your data to delight customers, drive differentiation and make better, faster business decisions. From strategic planning to production and beyond, we are with you every step of the way – managing your solutions, empowering your success and ensuring you get the full benefit of your business intelligence investment. Our experts help clients unlock the full value of the operational data by turning it into actionable insight. We will help customers enhance business intelligence architecture and respective solutions.
CloseData warehousing services enable you to easily leverage data and analytics for your business, so you can quickly extract insights from your data and make timely decisions. Our data warehouse serve as a central respiratory for your information and data, and store data efficiently and deliver result faster. We enhance the quality of the data and resiliency to deliver best result for our clients. Our experts help clients to get higher return of investment by improving the decision making process, hence forecast with confidence.
CloseData science is the process of using algorithms, methods and systems to extract knowledge and insights from structured and unstructured data. It uses analytics and machine learning to help users make predictions, enhance optimizations, and improve operations and decision making.
What good is a large amount of data if it’s not accurate? High thresholds and standards for data quality give our client’s confidence that they are making decisions based on real-world events. Data doesn’t lie, but sometimes it can be misleading if not understood correctly. Using a deep understanding of statistics, we avoid oversimplifying or drawing the wrong conclusions about human behavior. Our experts provide greater service to fully provide customized insights that help maximize the value of the data.
Our platform covers the entire data lifecycle, including ingestion, preparation, exploration and consumption. This enables analysts to create and manage their own analytic data pipelines to drive faster, trusted data-driven insights anywhere.
CloseBuild Data and Analytics Strategy
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