Data preparation is a hot topic today because modern technologies and practices are finally giving users and IT an alternative to traditionally slow, manual, and tedious steps for getting data ready for business intelligence (BI) and analytics. Data preparation covers a range of processes that begin during the ingestion of raw, structured, and unstructured data. Processes are then needed to improve data quality and completeness, standardize how it is defined for communities of users and applications, and perform transformation steps to make the data suitable for BI and analytics.
Alation, Alteryx, Attivio, Datameer, Looker, Paxata, Pentaho, RedPoint Global, SAP and Intel, SAS, Talend, Trifacta, Trillium Software, Waterline Data
More often, organizations are looking to the cloud for analytics. The cloud can provide flexibility, elasticity, and convenience. Organizations are using the cloud for a range of business use cases from reporting and sandboxes to production and IoT analytics, and much more. Cloud analytic services offerings are evolving too and becoming more popular – especially with business customers. As a Service (aaS) offerings can target specific subject areas such as churn-detection-as-a-service or fraud-detection-as-a-service. These can help to jump start improved business outcomes much faster than in-house efforts.
Fern Halper, Ph.D.
Data preparation for analytics used to reside solely within the IT teams with savvy technical resources. With businesses leaning towards self-service analytics, business analysts and data scientists need data prepared their way on their schedule, not based on IT availability, to drive business forward. Data preparation does not replace traditional data integration or ETL but is complementary to existing business intelligence solutions and allows the business user to easily access the integrated data and combine it with other sets of data thereby realizing the ROI on your BI and analytics investment beyond what your IT teams can deliver.
Claudia Imhoff, Ph.D.
A signature quality of leading companies is their ability to generate data-driven insights quickly so that they can proactively shift strategies to take advantage of new opportunities. They use data to learn sooner how customer preferences are changing, how to adjust when markets are shifting, and how they can reduce inefficiencies in operations so that resources are deployed the right way.
SAP and Intel
Dull reports and static bar charts are old news: Business users today are excited about modern visual analytics, data discovery, and intuitive business intelligence. Tools, applications, and cloud-based services are making it easier for users to derive powerful, actionable insights from a widening array of data. Users across organizations may finally have an alternative to limited spreadsheets and BI reports – and to waiting in IT’s backlog for developers to give them what they need.
SAS, Tibco Spotfire
Hidden inside data are insights that could change the game for your business – that is, if your decision makers can discover and apply them in time to make a difference!
Nothing is more frustrating to business users than having to wait out long IT development cycles for business intelligence (BI) tools and data warehousing systems just to gain access to the data they need right now. Fortunately, with the advent of visual analytics and discovery tools, the journey to data insight is getting easier and faster. Cloud computing is accelerating time to business value even further by giving organizations the option of bypassing the delays and difficulties of on-premises deployment.
Fern Halper, Ph.D., David Stodder
Legacy information technology environments usually consist of aging components, typically acquired over time to address specific business needs. While these systems met past needs, emerging opportunities and business pressures have motivated organizations to consider innovative data management technologies.
SAP and Intel