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Data has always held tremendous value, but for decades, most of that value has remained inaccessible due to technical limits and complexities.data discovery approach to BI emphasised data visualisation, self-serve analysis and transformed how users engage with data.

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Finance analytics reporting and support account for almost one third of finance function spend according to a Gartner Finance Leader Analytics poll.

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logistics companies have embraced analytics-based insights in their operations for some time, The transport and logistics sector is a complex and dynamic one.  A reliance on many moving parts, potential bottlenecks in the supply chain, rising costs and a dependence on third parties.

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Most businesses are now accessing on average 35 unique data sources according to Aberdeen Group, however sadly 30% of these were deemed “inaccessible” by the people that need to work with them.data integration is about combining data from disparate sources whether internal or external data to transform into meaningful and valuable information.

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Microsoft has contuned to strengthen its leadership in the data platform space with its recent release this month of SQL Server 2019. Explore What's New In SQL Server 2019 and how you can leverage it to take your data assets to the next level. Type a message

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Most of the trends in data and analytics cited by analysts like Gartner and IDC for 2020 centre around making rapid analysis a priority due to several reasons. Here we’ll explore what we believe are the top 8 data and analytics trends moving into 2020 for businesses.

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Without a roadmap, data and analytics efforts may underdeliver, increase complexity, or worse, cost you more time and money. Here are a few steps to consider when mapping out your enterprise data and analytics plan.

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The end of the financial year is a time to start a new page, and with data analytics, it can be the start of new beginnings. If you are an organisation that hasn’t invested or evolved your Data analytics, it is time to hop on the bandwagon.

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Building a data-driven enterprise is not just about encouraging the use of data in decision-making. Data and analytics leaders must lead development of the correct competencies and rebalance work Type a message

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Data Analytics is limited to descriptive analysis of the data, and generally backward-looking reporting on performance Read more at https://bit.ly/2NGVCpZ

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Despite how much the data management and data governance landscape has already evolved, it has now become even more business critical for CIO's to get right. We explore what's driving this renewed focus & what enterprises should consider.

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Australia’s construction and engineering businesses are facing major challenges at the moment, with intensified margin and productivity challenges. Many are combating this by turning to data analytics as a vital tool to foster data-driven decisions to improve capital project outcomes and reduce risk. Here we explore how.

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A global study found that Analytics Leaders see 60% more profits than Laggards do. However Australian businesses are falling short in leveraging data analytics. Here we explore why and what can be done.

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Here's How BI Can Improve The Manufacturing Supply Chain

Business Intelligence Solutions could help many organisations improve their efficiency, quality and profit everywhere from supply through to distribution.

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The business intelligence (BI) and analytics landscape has and is continuing to evolve rapidly in Australia. We’re now heading into what’s termed as 3rd Generation BI to help businesses better harness the potential within their data for competitive edge.  Qlik is at the forefront of this new approach that revolves around a crucial principle, the democratisation of analytics. Here we’ll explore how BI has evolved and what makes Qlik’s 3rd Generation BI platform and approach unique.

Data has always held tremendous value, but for decades, most of that value has remained inaccessible due to technical limits and complexities. The centralised approach of the 1st generation of BI, known as ‘The Ask/Wait/Answer Cycle’, was based on a centralised approach to BI, usually too reliant on a few people within IT that possessed the necessary technical skills, often overworked and under resourced, and therefore slowed down and diluted the full potential of value from analytics.

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Gartner released last week their 2019 Gartner Analytics & Business Intelligence Magic Quadrant Report.  Gartner recognised Qlik (Qlik Sense and QlikView) & Microsoft BI (including Power BI) once again in this report as Leaders within the space.  Qlik's enterprise data governance and Associative Engine for free-form agile analytics at scale, have continued to help Qlik Sense and QlikView dominate as differentiators.  While Microsoft continues to offer affordable data preparation, visual-based data discovery, interactive dashboards and augmented analytics via a single product, Power BI.  Download a complimentary version of Gartner's report to understand the latest developments in business intelligence, compare BI platforms and understand why Qlik & Microsoft continue to be recognised as BI Leaders by Gartner and users.

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Types of work in a data driven organization

Identifying and prioritising information based outcomes and improve decision making capabilities through data analytics

Working with enterprise executives to clarify expectations and justify a data and analytics leadership role

Creating a plan that accounts for data and analytics competency gaps