• No results found

Big and Smart Data for efficient decisions: How to share with decision makers the practices of Big Data Analytics?

N/A
N/A
Protected

Academic year: 2021

Share "Big and Smart Data for efficient decisions: How to share with decision makers the practices of Big Data Analytics?"

Copied!
18
0
0

Loading.... (view fulltext now)

Full text

(1)

How to share with decision makers the practices of Big Data Analytics?

Ali FOULADKAR ([email protected])

PhD candidate, Grenoble University (UPMF), France

Academic membership, CERAG laboratory, France

Academic membership, InnovDoc, Grenoble, France

(2)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process

(3)
(4)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process

Data: Big or Noisy ?

• Huge collections (volume) of heterogeneous data (variety), ingested at increasing speed (velocity) and integrated (veracity)

• The availability of huge amount of data is analyzed in new ways

• New forms of data analysis go beyond the traditional relational data model, by analyzing data of varying structure (e.g., flat records, hierarchies, graphs) and modality (e.g., relational, text, audio, video).

(5)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

Data: Big or Noisy ?

• Organizations capture billions of bytes of information about their customers, suppliers and operations, but their ability to collect, manage and interpret these information can be an obstacle to their use

• Many events can be recorded within organizations generating a never-ending sea of data

(6)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process

Data: Big or Noisy ?

• It is time to deal with learning and treating Big Data in order to improve organizational performance facing competitors through Smarter Decisions

• Organizations that succeed with Big Data Analytics will be those that understand the possibilities and choose the right deployment model

(7)

• In recent years, research works largely caught up with the industrial progress related to emerging of Big Data. However, this emergence is not yet touched by the education sector

• We must assist makers and educate the next decision-maker’s generation about new Big Data Technologies, by developing new approaches to education process mainly based on new analytical tools

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

(8)

• Most major universities offer some form of Big Data course, however curriculum is not consistent across institutions

• The fast growth of data incite many universities to develop courses and programs in the era related to Big Data spectrum, mostly: data mining, distributed systems and most recently data science

• Example of advanced study programs in Data Science:

Data Science at New York University, Information and Data Science at UC Berkley, Data Science at Syracuse University...

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process Data: Big or Noisy ?

(9)

Big Data Analytics describes data and analytics in large and complex applications that they require advanced and unique data analysis (La Valle R. 2011)

• Analytical methods

Methods for qualitative analysis (presence/absence of deadlocks, process correctness and soundness, …)

Methods for quantitative analysis (compute the average completion times of cases, average waiting time, resources utilization, compute the border suitable to split processing of simple and complicated cases and similar aspects, …)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

(10)

The definition of Big Data Analytics is easy to understand,

but do decision-makers actually use the term?

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

Data: Big or Noisy ?

Big Data

Analytics

Volume – Size Selection & Grouping

Velocity – Freshness Relational Operators – Join/Correlation

Variability – Type Extraction & Integration

(11)

• There is an irreversible trend toward the criticality of Big Data Analytics, capability and exercise, which is specifically related to the improvement of traditional Data-Driven Decision Making approaches

• We are dealing with decision making process related to Analytical Methods in order to explore the challenges that decision-makers face in the era of Big Data

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

(12)

• It is time to exploit this emergence of Big Data to develop a new era of Smart Data.

• Once the structural meaning of «Big data» is understood, the most important aspect of Big Data Management is the actual extraction of knowledge through massive Processing and Data Analysis

• Smart Data is the lethal weapon for modern enterprises, and businesses, who want to survive and improve their performance in this digital market

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process Data: Big or Noisy ?

(13)

Smart Data means information that actually makes sense. It is data from which signals and patterns have been extracted by intelligent algorithms.

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

Data: Big or Noisy ?

How is Smart Data really different from Big Data?

(14)

• Simon (1945) is one of the first researchers who have treated

decision-making process, which was considered «satisfaction»

rather than «optimization»

• «The initial effort toward designing management information systems started with available data rather than with decisions to be made» (Simon H. 1960)

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process

(15)

• Before the emergence of «Big Data Analytics» concept, some decisions were processed in a standard way without complexity, but after the new use of large amounts of data, decision-making process has changed radically specifically for strategic decisions

• This new requirement is not based on the experience of the makers, but it based on techniques and data management systems currently being developed and proposed

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

(16)

• Available training was built around technical and engineering problems and it does not offer proper theoretical basis to support decision makers in pertinent exploration of the Big Data fields

• Define coherent and stable learning objectives in a highly dynamic field

• Balance between theory and practice for various educational and training needs and availability of high quality teaching materials

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process Data: Big or Noisy ?

(17)

• We aim to provide guidance and recommendations to develop and build new approaches to education process mostly based on new analytical tools regarding:

(1) the implementation of Big Data technologies in the development of Big Data Decision Makers’ skills

(2) data collection procedures for the implementation of learning analytics

(3) educate students (future decision makers) from university to be prepared to explore these new analytical techniques in the era of Big Data

Educational revolution in the era of Big Data

Big Data Analytics: State

of the art

From Big to Smart Data in efficient Decision-Making

process

Decision-Making process in the era of Big Data

(18)

References

Related documents

In conclusion, for the studied Taiwanese population of diabetic patients undergoing hemodialysis, increased mortality rates are associated with higher average FPG levels at 1 and

Here we demonstrate this alternative teaching paradigm (Fig.  1), where the neuroprosthesis learns optimal motor behaviours (or control policies) to reach a target location based

puzzle: a decomposition and predictions”, Imperial College Business School, Discussion Paper 2015/02, February 2015; Pessoa and Van Reenen “The UK Productivity and

[r]

[r]

The First Nation hired Clarice LaVallee to manage housing repairs, but Roberts knows it’s not just a construction problem and, while he’s supporting the remediation work done

Delivery can be arranged and will be charged on a pallet basis.. Stock will be available on a first come, first

From these results, it is clear that women experience disrespectful maternity care by some healthcare workers, particularly by female staff. The strong support for the presence