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Gravitas Celebrates International Womens Day

Gravitas Celebrates International Womens Day

Gravitas celebrated International Womens day by holiday a Women in Business Roundtable event in 3 different locations si...

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Gravitas 'Best Recruitment Firm - Banking & Financial Services" in Hong Kong

Gravitas 'Best Recruitment Firm - Banking & Financial Services" in Hong Kong

Gravitas Recruitment is honoured to have been announced Best Recruitment Firm - Banking & Financial Services in Hong...

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Gravitas RecruitmentExperts in the Technology Community

90% of all the data in the world has been generated during the last two years. Internet companies are awash with data that can be grouped and utilised. An increasing amount of data are becoming available on the internet, with each and every one of us constantly producing and releasing data about ourselves. The volumes of data make up what has been designated 'Big Data'  where data about individuals, groups and periods of time are combined into bigger groups or longer periods of time.

Where the big trend in the mid 1990’s, was the emergence of data warehouses that were a terabyte in size, today’s leading-edge systems are a thousand times larger—measured in petabytes. Businesses that have data warehouses are upgrading and augmenting them with technologies such as Hadoop and in-memory processing, which help with “Big Data” workloads that are up to 1,000 times bigger than before.

In 2014 the overall impact of Business Intelligence (BI) is projected to expand, with a number of key trends and technology advancements spurring adoption rates and changing fundamental aspects of its usage.

Specific trends encompass empowering business users, restructuring technology, and escalating the usage of mobile, Cloud, and Big Data applications. The result is that Business Intelligence and analytics will be accessed much more quickly, easily, and frequently than before, and produce a burgeoning effect on the decision-making process for virtually all aspects of the enterprise.

BI in the Cloud

As Cloud computing continues to dominate the technology landscape, so too does the discussion of BI in the Cloud.  The greatest challenge for organisations is the logistical issue of the initial transfer of data into the Cloud.

Once data has been transferred to the Cloud, there are numerous cost-effective BI and big data tools available for organisations to take advantage of.

One of the advantages of using such Cloud-based analytics options is that users are not burdened with the hardware expenses associated with conventional analytics platforms.  The lower costs and increased flexibility of the aforementioned method are projected to increase Cloud adoption for analytics, as is the fact that analytics can be performed expeditiously.  Additionally, the increasing adoption rates for mobile technologies and mobile BI in particular should create a greater demand for Cloud analytics, as should the myriad options for personal, hybrid and private Cloud services.

Mobile BI

There is an intrinsic relationship between mobile technologies, data discovery tools and cloud based applications, all of which are converging to make BI more accessible.  Many vendors have dashboards and visualisations specifically for mobile applications, which may be used to access Cloud sources.  Mobile devices have had and will continue to play a crucial role in the consumerisation of IT and of BI in particular, as the prevelance and range of smartphones and tablet devices indicates.  Although adoption rates for mobile BI are still relatively low, the rates are growing faster for mobile than for other technologies.

Mobile BI may go mainstream, based on the need to make decisions on the go rather than being tied to wired locations or desktops.  Mobile business applications have become a vital part of most organisations. The increase in maturity and adoption of mobile technology has created a workforce reliant on instant access to information: business intelligence is no exception.

Analytics

Analytics is the next progression of modern BI, using algorithms to search for patterns and explanations. It looks at historical data to predict future activity for better business decision making.

A recent MIT Sloan Management report found that organisations using analytics are more than twice as likely to substantially outperform their competitive peers.

In-memory analytics

As memory becomes cheaper, in-memory analytics will become increasingly popular. In-memory analytics tools- such as Qlikview, Spofire and Tableau-allow for the querying and analysing of data from a computer’s RAM, resulting in quick and simple data exploration for BI and analytic applications.

The Agile approach to BI

Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly deliver faster results using just a quarter of the developer hours of a traditional waterfall approach.

Big Data

The major BI vendors are all announcing support for, or solutions using Big Data technology based on the most widely accepted tool, Hadoop. Banks will take up Big Data technology in the near future (most already have), alongside other organisations with expansive datasets in highly competitive markets such as insurance, financial services, telecommunications, government agencies and retail. As we put more data into the Cloud, Big data will become standard, which will in turn drive more sophisticated analytics back out of the Cloud. Data itself will be delivered to satisfy the desires of users, so access from mobile devices will lead over desk-based consumption.

Roles

Big Data, Analytics and Cloud BI
C – Level / Directors (Database / Business Intelligence)
Head of Business Intelligence
Management (DBA, DB Development, BI and DW)
Enterprise Architect (BI, Data and DW)
Data Analyst

Data Scientists
BI Analyst
BI Developer (Report, ETL, Cube and DW)
Development / Production DBA’s
Database Administrator (DBA) - Clustering, Optimisation, Performance Tuning.

RDBMS

  • IBM DB2
  • IBM Informix
  • SAP Sybase Adaptive Server Enterprise
  • SAP Sybase IQ
  • Teradata
  • Oracle (8i/9i/10g/11g)
  • Microsoft SQL Server (2000/2005/2008/2008R2/2012/AZURE)
  • MySQL
  • MongoDB / NoSQL
  • DB2
  • MS ACCESS
     

Cloud BI

Amazon Web Services / IBM Cognos (SPSS) / Birst / Indicee / GoodData / SAP BI OnDemand / Pivot Link / Oracle Cloud /

Integration

  • Ab Initio (company)
  • Apatar
  • Business Objects  Data Integrator
  • Data Moving Tool
  • Data Transformation Services
  • DMExpress
  • Expense and Cost Recovery System (ECRS)
  • IBM InfoSphere DataStage
  • Informatica
  • LogiXML
  • MuleSoft
  • Oracle Warehouse Builder
  • Pentaho
  • Pervasive Software
  • Scriptella
  • SnapLogic
  • Sprog (software)
  • SQL Server Integration Services
  • Sunopsis
  • Talend Open Studio for Data Integration

Reporting

  • ActiveReports
  • SQL Server Reporting Services
  • Actuate
  • Business Objects
  • Birst
  • BOARD
  • Cognos BI
  • Crystal Reports
  • GL Wand
  • I-net Crystal-Clear
  • InetSoft
  • Information Builders FOCUS and WebFOCUS
  • Infragistics NetAdvantage Reporting
  • InstantAtlas
  • Izenda Self-Service Reports
  • JReport
  • LogiXML (Free & Commercial Versions)
  • m-Power
  • OBIEE
  • Oracle Discoverer
  • Oracle Reports
  • Oracle XML Publisher
  • Proclarity
  • QlikView
  • MicroStrategy
  • SAS, as part of the BI Server suite.
  • Sage Intelligence
  • SQL Server Reporting Services
  • Stimulsoft Reports
  • Style Report
  • Tableau
  • Targit
  • Telerik Reporting
  • Windward Reports
  • XLCubed
  • Zoho Reports (as part of the Zoho Office Suite)

Analysis

  • SQL Server Analysis Services
  • Oracle BI Discoverer
  • Oracle Essbase
  • JasperAnalysis
  • Pentaho Analysis (Mondrian)
  • IBM Cognos PowerPlay
  • IBM Cognos TM1
  • SAP Business Objects Voyager
  • NovaView Analytics

Our consultants offer specialist recruitment services across the key markets within BI and Datawarehousing recruitment. If you are interested in a skill set that is not listed here, please do contact our team to discuss your requirements further.

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