Category Archives: BI_In Memory Analytics

In-memory analytics is an approach to querying data when it resides in a computer’s random access memory (RAM), as opposed to querying data that is stored on physical disks. This results in vastly shortened query response times, allowing business intelligence (BI) and analytic applications to support faster business decisions.

Ορολογία της Ημέρας (T.O.D) – 22/6/2017 [Agile BI]

Posted on June 22, 2017 by infoguobia

Agile BI is an approach to business intelligence (BI) that incorporates Agile software development methodologies to accelerate and improve the outcomes of BI initiatives. When an organization embraces Agile BI, it generally embeds Agile software developers in the organization’s business … Continue reading →

Posted in BI - Reporting & Querying, Big Data, BI_Analytics, BI_Big Data, BI_Centralized, BI_Cloud, BI_Data Mining, BI_Data Warehouse, BI_Data Warehousing, BI_Decision Making, BI_Digital Dashboards, BI_Front End, BI_In Memory Analytics, BI_Information Management, Business Intelligence, Business Intelligence Applications, Information Age | Tagged , , , , , , , , | Leave a comment

Ορολογία της Ημέρας (T.O.D) – 29/1/2017 [Machine Learning]

Posted on January 30, 2017 by infoguobia

Machine learning is an area of computer science and statistical modeling that allows a computer program to predict an outcome or make a decision without being explicitly programmed to do so. Machine learning, which forms the basis for artificial intelligence … Continue reading →

Posted in Advanced Analytics, Algorithmic Business, Automated Decisions, Big Data, BI_Analytics, BI_Big Data, BI_Data Mining, BI_Decision Making, BI_In Memory Analytics, BI_Information Management, BI_Open Source, BI_Predictive Analytics, BI_Prescriptive Analytics, BI_Real Time Analytics, BI_Social Analytics, Business Intelligence, Business Intelligence Applications, Data Science, Information Age, R, WWIB | Tagged , , , , , , , , , , , , , , , , , , , , | Leave a comment

Ορολογία της Ημέρας (T.O.D) – 11/01/2016 [Greedy Algorithm]

Posted on January 11, 2017 by infoguobia

A greedy algorithm is a mathematical process that looks for simple, easy-to-implement solutions to complex, multi-step problems by deciding which next step will provide the most obvious benefit. Such algorithms are called greedy because while the optimal solution to each … Continue reading →

Posted in Big Data, BI_Analytics, BI_Big Data, BI_Data Mining, BI_In Memory Analytics, BI_Predictive Analytics, BI_Prescriptive Analytics, BI_Real Time Analytics, BI_Social Analytics, Business Intelligence, Business Intelligence Applications, Data Science, Information Age, WWIB | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment

Analytics company Heap raises $11M — TechCrunch

Posted on August 21, 2016 by infoguobia

Heap announced today that it has raised $11 million in Series A funding. We’ve written about the company’s “capture everything” approach to analytics before — it aims to collect data about every tap, swipe and other action that a user … Continue reading →

Posted in Advanced Analytics, BI_Cloud, BI_In Memory Analytics, BI_Predictive Analytics, BI_Prescriptive Analytics, BI_Proprietary products, Business Intelligence, Data Science, Information Age | Tagged , , , , , , , , , , , , , , , , , , , | Leave a comment

Μίνι Παρουσιάση – BI Tools – Ad Hoc Reports

Posted on November 27, 2015 by infoguobia

Εδώ είμαστε και πάλι. Σε μία ακόμη κατηγορία εργαλείων επιχειρηματικής πληροφόρησης. Αυτή που ονομάζεται Ad Hoc Reports.  Προχωρούμε λοιπόν χωρίς περαιτέρω αργοπορία στην μίνι παρουσίαση των εργαλείων αυτών. Δικά σας. Ad Hoc Reports Tools List [134 προϊόντα].

Posted in BI - Reporting & Querying, BI_Analytics, BI_Centralized, BI_Data Mining, BI_Digital Dashboards, BI_Front End, BI_In Memory Analytics, BI_Information Management, BI_Middleware, BI_Real Time Analytics, BI_SaaS, BI_Self Service, BI_Social Analytics, BI_Virtualization, BI_Visualization, Business Intelligence, Information Age | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment