Tag: Connected Data Prep

How “Able” Is Your ETL Process? 8 Ways To Modernize Data Prep, Part 2

In Part 1 of this blog, I gave a high-level comparison of traditional extract, transfer and load (ETL) tools, desktop data preparation tools and Birst’s modern, built-for-the-cloud ETL tools for data analytics. In this blog, I’ll dive deeper into the eight key ways that, of the three options, Birst is best “able” to meet the rigorous requirements of today’s enterprise users.

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How “Able” Is Your ETL Process? Modernizing Data Prep, Part 1

For all the exciting discovery that data analytics enables, data preparation involves, for most users, an equal amount of drudgery. That’s true for a number of reasons, first and foremost being that enterprise data is rarely structured for analytic use; it’s often designed for transactional system performance or to minimize storage. Wrangling in data that’s spread across different locations and technologies (database, cube, cloud-based, on-premises, flat files, etc.), and then cleaning up “dirty” (incorrect, improperly encoded, duplicated or blank) data is a time-consuming and labor-intensive task, constantly repeated as data sources come and go.

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Making Decisions with Data – Is Data Prep Really Preparing You for Success?

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Data preparation is an essential tool for everyone who wants to get value from sources of information. Whether this data is held in internal applications, derived from partners or supplied by third parties, it will need some work before it can be analysed. More importantly, prepared data must be connected and related to other analytic instances in the enterprise, so teams can collaborate and make better decisions with data.

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Making Decisions with Data – Connecting People and Data for Better Analytics Results

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When thinking about making decisions, it’s important to differentiate between those that you make by yourself and those that you make with others. For many IT teams, building collaboration into how their businesses operate means deploying social tools such as chat or supporting real-time editing of documents by groups. However, when it comes to data, it’s a different story.

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Making Decisions with Data – The Role for Data Preparation

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Making use of data within companies is one of those challenges that should deliver huge results. In its FutureScape predictions for 2016, analyst firm IDC estimated that, worldwide, those companies analyzing all their information for actionable insight should see an extra $430 billion in productivity gains, compared to those that did not look at all their data.

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