In today’s business climate, using data to make quick decisions is a common ask across organizations. To fulfill such asks business users want more, faster, and better access to data and analytic tools. IT wants to balance this need for speed with the responsibility to protect the data assets from security, privacy, and quality risks. A common solution to this scenario is self-service BI or self-service analytics. Chances are you are already using self-service BI in some way, shape, or form or have heard a pitch from an analytic tool vendor!

Self-service BI has been around for several decades and yet business users keep asking for more and more. Has self-service BI failed to deliver on its promise? Is it time to revisit what self-service really means? How can business and IT work together to achieve better decision-making outcomes for their organization?

Watch this webinar “The New Self-Service Analytics – Going Beyond the Tools”, where we cover:
• How to demystify what self-service analytics means
• New trends driving the self-service analytics evolution
• Best practices and lessons learned from real-life examples
• Recommendations for making progress within your organization

Advance your self-service journey now.

Analytics Platform Automation Kit (APAK) addresses a critical gap in BI capabilities by fully automating the most time-consuming activities required for successful deployments and upgrades. It saves efforts spent on the release management activities which are repetitive, manual, and error prone.

Cloud Cost Monitor (CCM) monitors the spend of your cloud-based investments and provides a single view to enable the promise of cloud cost optimization. Spend less time agonizing over cloud bills and more time optimizing your cloud costs.

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BI Converter automates cross-platform migration helping organizations modernize their BI stack without vendor lock-in.

RTDS enables you to get the data you want at the speed you need it, rather than the speed at which traditional data integration processes can gather, process, and distribute.


IVA is a self-service knowledge discovery engine with a ‘Google-like’ natural language search interface and voice-enabled capabilities.

AQuA validates data quality at source, staging layers, production warehouses, and report outputs. It enables scaling of the quality processes as volume, velocity, and variety of data grows.

As data democratization becomes an increasing ask of the data & analytics world today, businesses like yours are seeking to strike the right balance between fast, self-served insights vs. trusted, well-managed data assets.

Watch our webinar on Best Practices for Sustainable Data Governance where they discuss:

  • Accelerated user and role management
  • Flexible data governance framework scalability for end-users
  • How to bring IT & business groups together to increase productivity
  • Key benefits to user community elements

Explore data governance. Watch now.

Are you’re considering changing your BI platform? Or looking to add a new one to your tech landscape? Perhaps, you have made the decision on what BI tool to implement but need a better understanding of the process in and of itself. Well, you’re in luck. This blog provides an overview of the potential pitfalls when migrating away from or to a new BI tool and opportunities that exist for those who do.

Why do I need to migrate from one BI tool to another?

First, let’s understand why a business, like yours, might need to change your BI platform. Usually, it stems from changes in business demands or technology challenges. Your business might need to move to a newer legacy platform or application, or migrate from one BI tool to another, or simply just upgrade your current BI tool. Or, if different departments have brought one specific BI tools for their needs, your IT department might want to consolidate and organize the tech stack to a single platform.

More than likely, the incumbent BI tool has been around for some time in your department, and even with its shortcoming’s your users are comfortable with its quirks and will be sad to see it go.

What common challenges exist in a business intelligence tool migration?

Change is usually a good thing; but change can also represent a number of challenges across various levels. Trying to do everything at once, can cause you and your team to feel overwhelmed and not want to move forward. Preparation combined with experience is a key factor when planning for a successful BI tool migration. At the end of the day a BI migration can be a big project, consider the following potential challenges that may arise:

  1. Workflow disruptions – Expect disruptions in daily workflow and its impact on deadlines, near and long term.
  2. Habits both good and bad – As legacy BI tools are retired, bad habits formed by users can remain in place.
  3. Additional workloads for project participants – Migrating and implementing a new BI tool requires users to participate in the new process. Adding additional tasks for users can create roadblocks. Create a plan to ease the burden on the users.
  4. Front load the process to avoid changes downstream which translates into rework, increased costs and frustrated stakeholders – Plan, plan, plan and did I mention planning? Consider the downstream impact of conducting proper due diligence combined with collaboratively planning the migration.
  5. Training achieves acceptance and proficiencies – proper training means less rework which translates into happier business users.

What opportunities exist with a BI tool migration?

Organizations, and individual users, can benefit from an organizational change of BI tools by recognizing an opportunity for growth. It’s not easy to get the whole organization on board with the migration but educate your team about the positive benefits that widespread changes will have on the organization. By uniting your data in one tool, and provide other chances for growth, such as:

  1. Avoid bad habits by replacing with new processes – We all have bad habits. However, taking advantage of a new tool is a golden opportunity to change old habits into good, successful processes. Seize this opportunity to create new, better habits
  2. Workloads and workflows impacts – Different tools require different paths to completion and can cause angst with users. Communicate the organization’s objectives and reassure users of the end goal how this will help the organization. Adding additional responsibilities, such as participating in a tool migration likely will increase stress within an organization. Careful resource planning is strongly encouraged to help maintain a work balance.
  3. Training is critical to successful migrations – As the tool use and users mature over time, training programs need to evolve as well. Training is not a stepped process but rather an ongoing, long term process. Solid training programs will yield tool proficiencies which in turn creates process efficiencies and translates to cost savings.

Are you ready to migrate?

Contact us, and our experts will answer your questions about technologies, migrations, and how to get started so that your organization can accelerate, automate, and advance data-driven decisions.

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