2015 Trends in Data Intelligence
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The document outlines key trends in data intelligence for 2015, emphasizing the growing challenge of data variety and the need for automation in data wrangling to enhance user experience. It highlights the expectation for user-friendly data solutions akin to consumer applications, alongside the rising popularity of cloud-based analytics and the integration of Apache Spark to improve performance. ClearStory Data is introduced as a company providing innovative data solutions to facilitate seamless access and exploration of data from multiple sources.
2015 Trends in Data Intelligence
- 1. 2015 Trends in Data Intelligence
- 2. 1Variety will Become the Most important “V” in Big Data. As data sources proliferate, they’ll be increasingly daunting and more costly to wrestle. Organizations of all kinds rely on data that resides in different silos: relational databases, flat files, “Big Data” platforms, cloud-based services and thousands of external data sources. Companies struggle to access, blend and harmonize various formats to extract crucial insights and opportunities. Data variety will be the number one challenge companies will seek to overcome.
- 3. 2Businesses will automate Data Wrangling. Most organizations today spend 70 to 80 percent of time and resources modeling or preparing data – versus interacting with it to deliver insights. The ability to simplify data preparation and automate data mash-ups for fast holistic views, will take shape in 2015 through new innovation so organizations can move beyond lengthy, laborious data wrangling. New automation solutions will make modeling and wrangling data from disparate systems much less resource- intensive and open up a new frontier of more data inside each analysis, to answer bigger questions.
- 4. 3Business Leaders will Expect a Drop-dead Simple User Experience. We all know the enormous success and consumer penetration of smart phones, consumer applications, new gadgets and gizmos. They’ve set the bar on user experience expectations. New data solutions will be expected to be equally simple and require no learning curve. Underlying the other overloaded word in data, “self-service,” is the assumption that business users will have solutions they can use without IT help. Traditional unnecessary complexities that include specialized syntax or specialized workflows designed for data scientists and IT experts will begin to fade away. When working with data becomes drop-dead simple, widespread adoption across business users will truly take off. Everyday business users will no longer view data analysis as frustrating or intimidating. Instead, it will become pleasantly addictive.
- 5. 4Cloud-based Analysis will become Pervasive. Without an over-reliance on IT, business users will ask new questions and find new answers at an unprecedented rate. As organizations continue to rely on various cloud-based services for business-critical operations, data analytics in the cloud will rise in popularity and the number of deployments will explode. Amazon’s data offerings are seeing a tipping point today. Cloud-based analytics will become the norm, not the exception, for business users’ data needs in 2015 and beyond.
- 6. 5New Solutions embedding Apache Spark will make Performance on Big Data a Non-issue. There’s no question Apache Spark delivers big advances in processing data at scale. The previous concerns from G2000 buyers on “what about performance” that enters every conversation when it comes to data variety and volume, will also fade away as companies adopt Spark-based data analysis solutions and experience the snappiness of these solutions first-hand. It will no longer be a theoretical discussion centered on “my lab benchmark versus your benchmark”. Users will instead, witness the benefits as they toss more data into Spark-based analytic solutions and experience first-hand far better performance than traditional BI or any other Big Data processing framework.
- 7. About ClearStory Data ClearStory Data is bringing next-generation Data Intelligence to everyone in order to accelerate the way businesses get answers across any number of data sources. By dramatically simplifying data access to internal and external sources, harmonizing disparate data on-the-fly, and enabling fast, collaborative exploration, ClearStory Data’s end-to-end solution includes an integrated platform and incredibly simple user application. The company is backed by Andreessen Horowitz, DAG Ventures, Google Ventures, Khosla Ventures, and Kleiner Perkins Caufield & Byers (KPCB). www.clearstorydata.com