A growing number of companies are pouring investment into Big Data analytics. According to a Gartner forecast, the business intelligence and analytics software market is expected to hit a staggering $22.8 billion by the end of 2020.It is well known that Big Data analytics can be used to make better decisions faster and increase profitability. However, many IT leaders do not realise that real results depend on what happens after the software solution has been implemented. Continuous monitoring and tuning is crucial for the model to consistently deliver the expected business value.Without this next step, it can be difficult to achieve the desired results.What can companies do to get the most out of their analytics investment? Here is a checklist of six best practices:1) Start with the decision, not the dataExploring different advanced analytics tools without a clear idea about how they will solve current business problems is a waste of time and resources. Start by focusing on the … [Read more...] about Six best practices for maximising your analytic payoff
Machine learning in python essential techniques for predictive analysis
6 data analytics trends that will dominate 2018
Together with social, mobile and cloud, analytics and associated data technologies have emerged as core business disruptors in the digital age. As companies began the shift from being data-generating to data-powered organizations in 2017, data and analytics became the center of gravity for many enterprises. In 2018, these technologies need to start delivering value. Here are the approaches, roles and concerns that will drive data analytics strategies in the year ahead.Data lakes will need to demonstrate business value or dieData has been accumulating in the enterprise at a torrid pace for years. The internet of things (IoT) will only accelerate the creation of data as data sources move from web to mobile to machines."This has created a dire need to scale out data pipelines in a cost-effective way," says Guy Churchward, CEO of real-time streaming data platform provider DataTorrent.For many enterprises, buoyed by technologies like Apache Hadoop, the answer was to create data lakes … [Read more...] about 6 data analytics trends that will dominate 2018
Do you have a data strategy to achieve better organizational analytics?
Big-data analytics, actionable insights, and powerful outcomes are the de facto expectations for data-analytics programs. Is your data strategy aligned to deliver those results?Organizations are seeking sophisticated analytical techniques and tools to gain more profound insights into how they can capitalize on the blue ocean of data analytics. Listen this week at your office and you’ll undoubtedly hear whisperings about harnessing the power of analytics. It might not be called data management or big-data analytics, and the questions might be more subtle, such as: How do we discover new insights into our products? Which operational capabilities will deliver the highest ROI? How do we leverage our data to generate better strategies and execute with improved confidence? Managers and leaders alike are searching for approaches to tap into the value of big-data analytics. What exactly is a big-data analytics strategy?A comprehensive data analysis foundationSet the frame mentally of the … [Read more...] about Do you have a data strategy to achieve better organizational analytics?
Azure Databricks: Fast analytics in the cloud with Apache Spark
We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood of data that’s only going to get bigger as we add the sensors of the industrial internet of things, and the data that’s needed to deliver even the simplest predictive-maintenance systems.Having that data is one thing, using it as another. Big data is often unstructured, spread across many servers and databases. You need something to bring it together. That’s where big data analysis tools like Apache Spark come into play; these distributed analytical tools work across clusters of computers. Building on techniques developed for the MapReduce algorithms used by tools like Hadoop, today’s big data analysis tools go further to support more database-like behavior, working with in-memory data at scale, using loops to speed up queries, and providing a foundation … [Read more...] about Azure Databricks: Fast analytics in the cloud with Apache Spark
4 data analytics trends that will dominate 2018
Together with social, mobile and cloud, analytics and associated data technologies have emerged as core business disruptors in the digital age. As companies began the shift from being data-generating to data-powered organizations in 2017, data and analytics became the center of gravity for many enterprises. In 2018, these technologies need to start delivering value. Here are the approaches, roles and concerns that will drive data analytics strategies in the year ahead.Data lakes will need to demonstrate business value or dieData has been accumulating in the enterprise at a torrid pace for years. The internet of things (IoT) will only accelerate the creation of data as data sources move from web to mobile to machines."This has created a dire need to scale out data pipelines in a cost-effective way," says Guy Churchward, CEO of real-time streaming data platform provider DataTorrent.For many enterprises, buoyed by technologies like Apache Hadoop, the answer was to create data lakes … [Read more...] about 4 data analytics trends that will dominate 2018