White Paper: Intetics
While navigating the cluttered spaces of growing cities is becoming ever more complicated, web and mobile journey planners promise to help stranded urban travellers find better, optimal transportation. Yet, the growing array of different systems are far from perfect and while many contain valuable components, others are missing elements that would make them invaluable to travelers. In this article originally published in April 2014 issue of Geoconnexion magazine, Intetics GIS analysts investigate 35 journey planning systems from around the world to identify which features make the best journey planners.
Sophisticated digital marketing technology, and the dramatic increase in always-connected consumers, is increasingly pushing marketing onto the center stage of corporate strategy. Ad campaigns launched on advanced technology platforms, which include tools to perform instant analysis of huge amounts of data, enable marketers to target campaign results and ROI in ways they could only dream about just a few years ago. They also give the entire enterprise real-time business intelligence to drive strategy at the moment of decision. These same technologies also turn the spotlight on IT and the CIO, who now have to deliver a range of advanced new data services to the enterprise, well beyond what they’ve had to do before. Marketers who have embraced their new strategic role share some common characteristics. They understand that navigating today’s rapidly evolving digital world requires an ecosystem of partners, both inside and outside their company walls. They seize the marketing opportunities that an interconnected, real-time digital landscape presents. And they take advantage of a new generation of tools that instantly orchestrate the massive amounts of data and the many moving parts of a modern media campaign. It’s now critically important that the CMO work strategically across department lines with CIOs and IT. CMOs need to evangelize their goals, strategies, and methods with the CIO to be sure IT can effectively align behind them. And the CIO needs to help marketing understand the capabilities and services they can provide and how to most effectively interface with IT processes. And, further, the CIO needs to be sure to have preexisting relationships with the right technology providers and Systems Integrators (SIs) to be sure they can quickly deliver new capabilities as dictated by rapidly evolving strategic goals.
By: DataFactZ Solutions
Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper talks about data visualization techniques that enable the user to make faster decisions and a better technological investment. Inside this Visualization White Paper: Interactive visualization: Clear and effective in communicating the content List of DOs and DON’Ts in data visualization Guide to choose the right chart type for successful data visualization
What is Big Data ?
Big data is the act of collecting huge amount of enterprise data that can be used for future analysis. Big data helps all kind of industry data to grow securely that includes government, banking, retail, education and healthcare. Big data stores all kind of data including structured, unstructured and semi structured data, which contains valuable information about core functions of an enterprise such as finance, marketing, procurement.
What is Database ?
Database is a concise and arranged collection of similar data that is usually accessible to many simultaneous users. Database can be stored on a system and examined by a program called database management system (DBMS). One of the most important aspects of a DBMS is its relational model which is also known as relational Database management system (RDBMS)
What is Data Management ?
Data management is the development and execution of policies and procedures in order to manage the information lifecycle needs of an enterprise ensuring the accessibility, reliability, and timeliness of the data for its users. Data Management enables organizations and enterprises to use data in: Organizing the enterprise data, Storing and preserving data for future re-use, Making data ready to use anytime, Share data with colleagues