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
Data warehouses (DWs) and requirements for them continue to evolve. DWs are more relevant than ever, as they support operationalized analytics, and wring business value from machine data and other new forms of big data. Hence, it’s important to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. Yet, user organizations struggle to stay educated about trends and take the right action to modernize their DW investments. Many users need to catch up by deploying a number of upgrades and extensions to their existing DW environments and by adopting modern development methods. Once caught up, they need a strategy for continuous modernization.
Philip Russom, Ph.D.
Content Provided by
TDWI, IBM, Pentaho, SAP, SAS, TimeXtender
Demand is accelerating across organizations for better and faster access to data. Business executives, managers, and frontline users in operations want the power to move beyond the limits of spreadsheets so they can engage in deeper analysis and use data insights to transform all types of decisions. Newer tools and methods are making it possible for organizations to meet the demands of nontechnical users by enabling them to access, integrate, transform, and visualize data without traditional IT hand-holding.
The continued growth of interactive businesses combined with the explosive diffusion of online, mobile, and IoT (Internet of Things) touch points has enabled organizations to develop business applications involving millions, if not orders of magnitude more interactions and transactions. The success of the business, though, depends on driving the customers and users toward profitable transactions. Examples include purchasing products viewed on an eCommerce web site, recommending an article to a friend, or triggering automated controls within an industrial environment to avoid a part failure. These are examples of scenarios that are informed through behavioral analytics.
A recent TDWI survey shows that Hadoop clusters in production are up 60 percent over two years. This is no surprise because use cases for Hadoop in data warehousing, business intelligence, and analytics are well established. In addition, applications of Hadoop for archiving, content management, and operational applications are emerging into prominence. These developments show that Hadoop usage is diversifying broadly across and within mainstream enterprises, such that Hadoop will eventually be a common platform for many purposes in many IT portfolios.
Fern Halper, Ph.D., Philip Russom, Ph.D.
Content Provided by
TDWI, IBM, Cloudera, MapR, MarkLogic, Teradata