from struggle to discovery

Proveedores de business intelligence solutions Los tradicionalistas luchan por mantenerse al día. Big data es una necesidad para la mayoría de las compañías, despite this, las herramientas que disponen no son exactamente inteligencia empresarial de big data. El problema es que la mayoría no está diseñada para procesar tales volúmenes de datos. In other words, no disponen la capacidad de identificar qué es significativo y qué debe ignorarse.

In these conditions, the reportando se aleja de su objetivo principal y, en lugar de aportar claridad, precisión y visión, se pierde en gráficos e información carentes de relevancia estratégica. Esta perspectiva poco inteligente deja a los responsables de la toma de decisiones en una posición muy vulnerable.

But, ¿es factible usar el ¿BI? Hay una verdad inteligencia empresarial de big data?

Photo credits: “Reserve con teléfonos móviles y tablet PC” por KROMKRATHOG

Cómo reconocer las verdaderas herramientas de inteligencia empresarial de big data

Fortunately, hay herramientas más nuevas que llenan este vacío que las antiguas. Soluciones BI left. Se trata de soluciones con gran potencial en el descubrimiento de datos. Su misión es simplificar la búsqueda e identificación de datos relevantes. A diferencia de las soluciones anteriores, su tarea actual podría compararse con buscar una aguja en un pajar. Therefore, una buena herramienta de descubrimiento de datos debería:

• Analizar datos estructurados y no estructurados basado en ciertos criterios de búsqueda.

• Tenga su propia estructura de datos que le permita store and model data collected from different sources, minimizing reliance on predefined BI metadata.

• Have a built-in performance layer that, using RAM or indexing, Reduce the need for aggregates, summaries and pre-calculations..

• Present an intuitive interface, that enables users of all kinds of backgrounds to explore data.

The result is a more accurate insight and a wider rangeO. It cannot be otherwise when working in a big data environment.

From struggle to discovery, why Big Data Business Intelligence?

After the first signs of struggle of Soluciones BI having to face big data as a reality, survival has transformed into proactivity and the data discovery tools cutting-edge, that go beyond the Business intelligence traditional even though they do not cover exactly the same sector. Therefore, if a BI solution:

• It focused on reporting.

• Facilitated supervision.

• It was top-down oriented.

The new generation of inteligencia empresarial de big data based on data discovery:

• They focus on the analyticsAnalytics refers to the process of collecting, Measure and analyze data to gain valuable insights that facilitate decision-making. In various fields, like business, Health and sport, Analytics Can Identify Patterns and Trends, Optimize processes and improve results. The use of advanced tools and statistical techniques is essential to transform data into applicable and strategic knowledge.... avanzada.

• They facilitate show.

• They are bottom-up focused.

At the same time, compared to a model designed for professionals and skilled specialists, such as IT staff and consultants; as proposed in traditional BI solutions; today expansion is sought and the target audience is general users. People in the organization, who perform different roles and whose work area may be very different, more operational and less strategic.

The analytics market is splitting and divides into two segments: the old market of “business intelligence” and the new market of “data discovery”. As Gartner predicts, the big data business intelligence trendand structured around data discovery will accelerate in the medium and long term, recognizing data discovery capabilities as an increasingly important element that brings greater value to the organization, as the amount of data continues to increase and traditional business intelligence cannot keep up:

• Speed.

• Update.

• Opening.

• Graphical potential.

Items that, perhaps at first glance, mark the differences between both BI approaches, despite this, it is in the deeper layer where the change can truly be appreciated. And is that, only by introducing data discovery techniques is it possible to extract all the potential it contains Big Data.

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